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Confidential AI Computing in Health
15Jul

Confidential AI Computing in Health

Accelerating Healthcare AI Development with Confidential Computing Can confidential computing accelerate the development of clinical algorithms by creating a secure, collaborative environment for data stewards and AI developers? The potential of AI to transform healthcare is immense. However, data privacy concerns and high costs often slow down AI advancements in this sector, even as other industries experience rapid progress in algorithm development. Confidential computing has emerged as a promising solution to address these challenges, offering secure data handling during AI projects. Although its use in healthcare was previously limited to research, recent collaborations are bringing it to the forefront of clinical AI development. In 2020, the University of California, San Francisco (UCSF) Center for Digital Health Innovation (CDHI), along with Fortanix, Intel, and Microsoft Azure, formed a partnership to create a privacy-preserving confidential computing platform. This collaboration, which later evolved into BeeKeeperAI, aimed to accelerate clinical algorithm development by providing a secure, zero-trust environment for healthcare data and intellectual property (IP), while facilitating streamlined workflows and collaboration. Mary Beth Chalk, co-founder and Chief Commercial Officer of BeeKeeperAI, shared insights with Healthtech Analytics on how confidential computing can address common hurdles in clinical AI development and how stakeholders can leverage this technology in real-world applications. Overcoming Challenges in Clinical AI Development Chalk highlighted the significant barriers that hinder AI development in healthcare: privacy, security, time, and cost. These challenges often prevent effective collaboration between the two key parties involved: data stewards, who manage patient data and privacy, and algorithm developers, who work to create healthcare AI solutions. Even when these parties belong to the same organization, workflows often remain inefficient and fragmented. Before BeeKeeperAI spun out of UCSF, the team realized how time-consuming and costly the process of algorithm development was. Regulatory approvals, data access agreements, and other administrative tasks could take months to complete, delaying projects that could be finished in a matter of weeks. Chalk noted, “It was taking nine months to 18 months just to get approvals for what was essentially a two-month computing project.” This delay and inefficiency are unsustainable in a fast-moving technology environment, especially given that software innovation outpaces the development of medical devices or drugs. Confidential computing can address this challenge by helping clinical algorithm developers “move at the speed of software.” By offering encryption protection for data and IP during computation, confidential computing ensures privacy and security at every stage of the development process. Confidential Computing: A New Frontier in Healthcare AI Confidential computing protects sensitive data not only at rest and in transit but also during computation, which sets it apart from other privacy technologies like federated learning. With federated learning, data and IP are protected during storage and transmission but remain exposed during computation. This exposure raises significant privacy concerns during AI development. In contrast, confidential computing ensures end-to-end encrypted protection, safeguarding both data and intellectual property throughout the entire process. This enables stakeholders to collaborate securely while maintaining privacy and data sovereignty. Chalk emphasized that with confidential computing, stakeholders can ensure that patient privacy is protected and intellectual property remains secure, even when multiple parties are involved in the development process. As a result, confidential computing becomes an enabling core competency that facilitates faster and more efficient clinical AI development. Streamlining Clinical AI Development with Confidential Computing Confidential computing environments provide a secure, automated platform that facilitates the development process, reducing the need for manual intervention. Chalk described healthcare AI development as a “well-worn goat path,” where multiple stakeholders know the steps required but are often bogged down by time-consuming administrative tasks. BeeKeeperAI’s platform streamlines this process by allowing AI developers to upload project protocols, which are then shared with data stewards. The data steward can determine if they have the necessary clinical data and curate it according to the AI developer’s specifications. This secure collaboration is built on automated workflows, but because the data and algorithms remain encrypted, privacy is never compromised. The BeeKeeperAI platform enables a collaborative, familiar interface for developers and data stewards, allowing them to work together in a secure environment. The software does not require extensive expertise in confidential computing, as BeeKeeperAI manages the infrastructure and ensures that the data never leaves the control of the data steward. Real-World Applications of Confidential Computing Confidential computing has the potential to revolutionize healthcare AI development, particularly by improving the precision of disease detection, predicting disease trajectories, and enabling personalized treatment recommendations. Chalk emphasized that the real promise of AI in healthcare lies in precision medicine—the ability to tailor interventions to individual patients, especially those on the “tails” of the bell curve who may respond differently to treatment. For instance, confidential computing can facilitate research into precision medicine by enabling AI developers to analyze patient data securely, without risking exposure of sensitive personal information. Chalk explained, “With confidential computing, I can drill into those tails and see what was unique about those patients without exposing their identities.” Currently, real-world data access remains a significant challenge for clinical AI development, especially as research moves from synthetic or de-identified data to high-quality, real-world clinical data. Chalk noted that for clinical AI to demonstrate efficacy, improve outcomes, or enhance safety, it must operate on real-world data. However, accessing this data while ensuring privacy has been a major obstacle for AI teams. Confidential computing can help bridge this “data cliff” by providing a secure environment for researchers to access and utilize real-world data without compromising privacy. Conclusion While the use of confidential computing in healthcare is still evolving, its potential is vast. By offering secure data handling throughout the development process, confidential computing enables AI developers and data stewards to collaborate more efficiently, overcome regulatory hurdles, and accelerate clinical AI advancements. This technology could help realize the promise of precision medicine, making personalized healthcare interventions safer, more effective, and more widely available. Chalk highlighted that many healthcare and life sciences organizations are exploring confidential computing use cases, particularly in neurology, oncology, mental health, and rare diseases—fields that require the use of

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July 15, 2024in Data, Technology
Where Will the Data Scientists Go
13Jul

Where Will the Data Scientists Go

What Is to Become of the Data Scientist Role? This question frequently arises among executives, particularly as they navigate the changing roles of data teams, such as those at DataRobot. Where Will the Data Scientists Go may not be as relevant as what new places can they go with AI? The short answer? While tools may evolve, the core of data science remains steadfast. As the field of data science continues to expand, the role of the data scientist becomes increasingly vital. The need will grow, even as the role changes. Trust in AI is dependant upon human oversight. Beyond the Hype of Consumer AI The surge in consumer AI products has raised concerns among data scientists about the implications for their careers. However, these technologies are built on data and generate vast amounts of new data, presenting numerous opportunities. The real transformative potential lies in enterprise-scale automation. Enterprise-Scale Automation: The Data Scientist’s Domain Enterprise-scale automation involves creating large-scale, reliable systems. Data scientists are crucial in this effort, as they bring expertise in data exploration and systematic inference. They are uniquely positioned to identify automation opportunities, design testing and monitoring strategies, and collaborate with cross-functional teams to bring AI solutions from concept to implementation. As automation grows, the role of the data scientist is essential in ensuring these systems function effectively and safely, particularly in environments without human oversight. New Skills for Data Scientists: The Guardians of AI Applications Data scientists will need to acquire new skills to manage automation at scale, including securing the systems they build. Generative AI introduces new risks, such as potential vulnerabilities to prompt injections or other security threats. Governance and ensuring positive business impacts will become increasingly important, requiring a data science mindset. Building Great Data Teams in the Age of AI The future of data science will not be about automation replacing data scientists but about the evolution of roles and skills. Data scientists need to focus on the core foundations of their discipline rather than the specific tools they use, as tools will continue to evolve. Teams must be built intentionally, encompassing a range of skills and personalities necessary for successful enterprise automation. Business Leaders: Navigating the AI Landscape Business leaders will need to excel in decision-making, understanding the problems they aim to solve, and selecting the appropriate tools and teams. They will also need to manage evolving regulations, particularly those related to the design and deployment of AI systems. Data Scientists: Precision Thinkers at the Forefront Contrary to the belief that AI could replace coding skills, the essence of data science lies in precise thinking and clear communication. Data scientists excel in translating business needs into data-driven decisions and AI applications, ensuring that solutions are not only technically sound but also aligned with business objectives. This skill set will be crucial in the era of AI, as data scientists will play a key role in optimizing workflows, designing AI safety nets, and protecting their organization’s brand and reputation. The Evolving Role of Data Science The demand for precise, data-literate thinkers will only grow with the rise of enterprise AI systems. Whether they are called data scientists or another name, professionals who delve deeply into data and provide critical insights will remain essential in navigating the complexities of modern technology and business landscapes. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 13, 2024in Data, Enterprise, Generative AI, Salesforce, Technology
Smithsonian Data Cloud
12Jul

Smithsonian Data Cloud

The Smithsonian already embraces technology through its Open Access Initiative. ousing 2D and 3D renders of collections it provides access to over 20 museums. Enter Salesforce and Smithsonian Data Cloud. The world’s largest network of research, museum, and education facilities, the Smithsonian Institution, manages over 150 million collections across its 21 museums, the National Zoo, and eight research centers. Navigating this vast array of artifacts can be overwhelming, even for dedicated history enthusiasts. To enhance accessibility, the Smithsonian Institution is collaborating with cloud computing giant Salesforce. The goal is to streamline the user experience by integrating disparate data sources, such as ticketing systems and donation histories, into a unified system. This initiative aims to provide a clearer blueprint of Smithsonian’s diverse locations and offerings, according to Lori Freeman, Salesforce’s Vice President and General Manager of Nonprofit Industry Solutions and Strategy. “Smithsonian is so progressive. They have all this content, they have all this history, they have incredible tools,” Freeman told Technical.ly. “So this technology is going to enable them to reach audiences they would never get to.” For instance, this system will allow museum staff and volunteers to assist visitors in locating exhibits across different Smithsonian locations. Becky Kobberod, the Smithsonian’s Head of Digital Transformation, illustrated this by describing how a visitor at the Hirshhorn could ask about a piece of art at the National Museum of American History. “It’s connecting the dots and creating a Smithsonian ecosystem that we currently don’t have. If you want to engage in our various museums, you go to each of them separately,” Kobberod said. “Whereas now, we’re providing you a front door, so to speak, that can help you navigate across all of the many different museums and resources that we have.” Although specifics about the technology and user interface have not been disclosed, Freeman emphasized that the main objectives are to keep visitors engaged and to build lifelong relationships with both in-person and virtual visitors. Building on Current Tech Resources The Smithsonian’s Open Access initiative, launched in early 2020, offers 2D and 3D renderings of its collections, totaling around 5 million items to date. Users can interact with 3D images to get a 360-degree view of fossils, sculptures, and artifacts like Neil Armstrong’s spacesuit. This initiative began with 2.8 million pieces and continues to grow, said Kobberod. In addition to Open Access, the Smithsonian has other digital initiatives. In 2022, the National Museum of African American History and Culture, in collaboration with Baltimore-based digital services firm Fearless, launched a searchable online platform to make certain collections and stories more accessible. Kobberod noted that only about 1% of the collections are physically displayed at any given time. Digitizing and uploading these collections not only preserves them but also makes them accessible to people who might not have the means to visit in person. “Smithsonian exists as a service to all of the American public,” she said. “We know that this is core to our future, and to making what we have available to the nation and the world.” Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 12, 2024in Data, Salesforce, Salesforce Data Cloud, Salesforce Experience Cloud, Salesforce Hospitality Travel and Transportation, Salesforce Optimization, Salesforce Public Sector Solutions, Technology
Public Sector Loan Management
12Jul

Public Sector Loan Management

Optimizing Public Sector Loan Management with Salesforce Effective loan management is vital for public sector financial operations, ensuring that funds are allocated efficiently and responsibly. As public entities face increasing demands for transparency and accountability, leveraging technology becomes essential. Salesforce, a leading customer relationship management (CRM) platform, offers robust solutions tailored to enhance loan management processes in the public sector. This article explores how Salesforce optimizes key aspects of loan management, with a focus on the Loan Boarding, Handoff, and Approval Process. Understanding Loan Boarding in Public Sector Finance Loan boarding refers to the initial steps of creating a new loan within an organization’s financial system. In the public sector, where loans often involve multiple stakeholders and complex regulations, a streamlined boarding process is critical. Salesforce’s customizable workflows and automation capabilities enable organizations to reduce manual entry errors and improve overall efficiency. Streamlined Data Entry Salesforce allows organizations to create custom fields that capture essential data points, such as borrower information, loan amounts, interest rates, and terms. When a loan application is submitted through a portal integrated with Salesforce, the platform automatically populates relevant fields, minimizing repetitive data entry and human error. Enhanced Collaboration Salesforce’s collaborative features, like Chatter, enable seamless communication between departments, such as finance, compliance, and risk management. Teams can access real-time information and discuss applications directly on the platform, eliminating the need for delays caused by emails or meetings and expediting the approval process. The Handoff Process: Ensuring Smooth Transitions Once a loan application is successfully boarded, it must be handed off to various stakeholders for review and approval. Without proper management, this process can become bottlenecked. Salesforce provides tools that automate notifications and reminders, ensuring smooth handoffs at each stage of the approval process. Automated Alerts and Task Management Salesforce’s task management system assigns specific tasks to team members and sets deadlines for completion. Automated alerts ensure no step in the approval process is overlooked, minimizing delays caused by human error or oversight and keeping the process on track. Approval Process: Simplifying Decision-Making In public sector lending, the approval process often requires multiple levels of scrutiny due to regulatory requirements. Salesforce’s powerful reporting capabilities allow decision-makers to quickly analyze applications based on predefined criteria, such as creditworthiness and compliance metrics. Custom Approval Workflows Salesforce enables organizations to design custom workflows that reflect their unique approval hierarchies. For instance, loans that require additional scrutiny based on size or risk can easily be routed to the appropriate stakeholders, ensuring compliance and mitigating risks. Document Management: Keeping Everything Organized Effective loan management relies on accurate documentation throughout the loan lifecycle, from application to repayment. Salesforce’s document management features enhance organization and compliance: Conclusion Optimizing public sector loan management with Salesforce offers substantial benefits in efficiency, accountability, and adaptability. From seamless loan boarding to enhanced collaboration, streamlined approvals, and robust document management, Salesforce provides a comprehensive solution for public sector financial operations. By leveraging these technological advancements, public sector organizations can effectively manage loans from application to repayment, ensure compliance, and build trust with the constituents they serve. Salesforce’s capabilities position public entities for operational success while maintaining the high standards required for public financing. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 12, 2024in Data, Salesforce, Technology
What is Salesforce Health Cloud
11Jul

Explore Salesforce Health Cloud

Empower Your Healthcare Team with Salesforce Health Cloud Equip your healthcare team with comprehensive 360-degree views that help connect and engage every patient, member, employee, and partner. Explore Salesforce Health Cloud Explore Health Cloud Understanding the capabilities of this platform is the first step to transforming your organization’s patient management. Let’s explore what Health Cloud offers to various types of healthcare organizations. Introducing Salesforce Health Cloud: A CRM Solution for Patient Management Over 600 companies, including industry leaders like Lilly, Pacific Clinics, United Healthcare, Progyny, Stanley Healthcare, and Humana, trust Salesforce Health Cloud for their patient management needs. As the healthcare industry rapidly evolves, effective patient information management is essential. This insight looks into Salesforce Health Cloud’s capabilities, features, integration options, and benefits, including its security architecture. What is Health Cloud? Salesforce Health Cloud is a cloud-based technology designed specifically for the healthcare industry. It centralizes patient information, giving healthcare professionals a complete view of patient records, enabling more effective treatments and better patient care. Key Capabilities of Salesforce Health Cloud Salesforce Health Cloud is a robust platform offering key capabilities such as: Salesforce in the Healthcare Industry Salesforce is increasingly popular among healthcare organizations for several reasons: Salesforce Health Platform Features Salesforce Health Cloud offers three main sets of features: Salesforce Health Cloud Architecture The architecture of Salesforce Health Cloud includes: Salesforce Health Cloud Security Salesforce Health Cloud is designed to securely manage healthcare data, featuring: Revolutionizing Healthcare Delivery with Salesforce Health Cloud Salesforce Health Cloud is designed for healthcare organizations to automate processes and provide personalized patient care. Since its launch in 2016, Health Cloud has evolved to address the complexities of the healthcare industry, including the introduction of Customer 360 for Health, an AI-driven healthcare solution. Why Choose Salesforce Health Cloud? Salesforce Health Cloud connects healthcare teams to ensure that patients receive the right care, supported by multi-layered security to protect sensitive patient data. It integrates clinical and non-clinical patient data, streamlining workflows and enhancing patient satisfaction. Top Features of Salesforce Health Cloud Key features include Patient 360, Care Plans, Care Coordination, Health Timeline, and Einstein Analytics for Healthcare, among others. Salesforce has also introduced AI-powered innovations under the Patient 360 for Health initiative, enhancing patient care and operational efficiency. Integration with MuleSoft Salesforce Health Cloud’s integration with MuleSoft allows organizations to connect with existing healthcare systems, ensuring accurate and up-to-date patient information, unlocking the full potential of their data, and improving decision-making. Conclusion Salesforce Health Cloud is more than just a platform—it’s a comprehensive solution for managing doctor-patient interactions, recordkeeping, and delivering personalized care. By leveraging Health Cloud, healthcare organizations can transform patient experiences, streamline processes, and ensure data security and compliance, positioning themselves for a brighter future in healthcare. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 11, 2024in Mulesoft, Salesforce Health Cloud, Salesforce Marketing Cloud, Salesforce Shield
Content Marketing Lessons
11Jul

Content Marketing Lessons

Content Marketing Lessons: Beyond Creativity Content marketing requires more than just creativity; it demands a strategic approach rooted in collaboration, consistency, and data-driven insights. Salesforce, a leader in customer relationship management, exemplifies how to revolutionize content marketing to achieve meaningful business outcomes. Centralize Content Strategy for Consistency One of the key takeaways from Salesforce’s content marketing evolution is the power of centralization. Jessica Bergmann, Vice President of Content and Customer Marketing at Salesforce, led a shift that elevated content marketing to a strategic function within the company. By centralizing content operations, Salesforce ensured consistency in voice, tone, and messaging across all channels. This centralization wasn’t about controlling content but about creating a unified narrative that resonates with customers at every touchpoint. Empower Teams with Strategic Roles To bridge the gap between audience needs and Salesforce’s business objectives, Jessica introduced two pivotal roles: content strategists and editorial leads. These roles are embedded within brand, persona, and industry teams, ensuring content aligns with business goals and is tailored to the specific needs of different customer segments. This approach underscores the importance of empowering teams with the right expertise and tools to deliver impactful content. Leverage Technology for Seamless Operations Salesforce’s centralized content operations team plays a crucial role in managing the company’s content ecosystem. By utilizing a central content operations tool, the team oversees real-time editorial calendars, workflows, and a global measurement dashboard. This technological foundation allows Salesforce to streamline content production and maintain a cohesive strategy across its global teams. For any organization aiming to scale content marketing efforts, investing in the right technology is essential. Integrate Cross-Functional Collaboration A key to Salesforce’s success is its emphasis on cross-functional collaboration. By working closely with product marketing, creative, and campaigns teams, the content marketing function at Salesforce is integral to the broader marketing strategy. This integrated approach ensures content is not created in isolation but as part of a larger, cohesive effort to educate customers and drive business growth. Measure What Matters In content marketing, measurement is everything. Salesforce’s content performance dashboard provides visibility into how content is performing across the organization. By tracking metrics like traffic, engagement, and progression, Salesforce ensures its content efforts align with business objectives. This focus on actionable metrics helps teams make informed decisions about optimizing, promoting, or cutting content. Prioritize Strategic Initiatives Salesforce’s ability to manage multiple high-impact projects, such as Dreamforce, Salesforce+, and the #TeamEarth campaign, demonstrates its strategic prioritization process. Using the V2MOM framework (vision, values, methods, obstacles, and measures), Salesforce aligns its content marketing efforts with the company’s broader goals. This structured approach allows Salesforce to allocate resources effectively and ensure content initiatives deliver maximum impact. Focus on Audience-First Content At the heart of Salesforce’s content marketing strategy is an unwavering focus on the audience. By adopting an “audience-first” mindset, Salesforce’s content teams strive to create content that addresses customer needs while earning the right to market to them. This approach is crucial in today’s content-saturated environment, where businesses must offer genuine value to stand out. Develop Long-Range Content Plans Content marketing isn’t just about quick wins; it’s about building long-term relationships with your audience. Salesforce’s commitment to long-range content planning, integrating thought leadership, search, and editorial efforts, ensures the company remains top-of-mind for customers throughout their buying journey. This long-term focus is key to nurturing leads and converting them into loyal customers. Invest in Content Marketing Talent Hiring the right talent is vital for a successful content marketing strategy. Salesforce’s experience highlights the importance of bringing in content marketing experts who can execute the strategy effectively. These experts bring fresh ideas and ensure the content marketing function is respected and prioritized within the organization. Show Early Wins to Build Momentum Finally, one of the most important lessons from Salesforce’s content marketing journey is the value of showcasing early wins. By focusing on quick victories that demonstrate the impact of content marketing, Jessica and her team built momentum and secured buy-in from senior leadership. This approach is essential for any content marketing team seeking to establish itself as a strategic function within the organization. Conclusion Salesforce’s content marketing transformation offers valuable insights for businesses at any stage of their content marketing journey. By centralizing content strategy, empowering teams with strategic roles, leveraging technology, and focusing on audience-first content, Salesforce has created a content marketing engine that drives real business results. For organizations looking to elevate their content marketing efforts, these lessons provide a clear roadmap to success. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 11, 2024in Salesforce
Data Protection Improvements from Next DLP
11Jul

Data Protection Improvements from Next DLP

Insider risk and data protection company Next DLP has unveiled its new Secure Data Flow technology, designed to enhance data protection for customers. Integrated into the company’s Reveal Platform, Secure Data Flow monitors the origin, movement, and modification of data to provide comprehensive protection. Data Protection Improvements from Next DLP. This technology can secure critical business data flow from any SaaS application, including Salesforce, Workday, SAP, and GitHub, to prevent accidental data loss and malicious theft. “In modern IT environments, intellectual property often resides in SaaS applications and cloud data stores,” said John Stringer, head of product at Next DLP. “The challenge is that identifying high-impact data in these locations based on its content is difficult. Secure Data Flow, through Reveal, ensures that firms can confidently protect their most critical data assets, regardless of their location or application.” Next DLP argues that legacy data protection technologies are inadequate, relying on pattern matching, regular expressions, keywords, user-applied tags, and fingerprinting, which only cover a limited range of text-based data types. The company highlights that recent studies indicate employees download an average of 30 GB of data each month from SaaS applications to their endpoints, such as mobile phones, laptops, and desktops, emphasizing the need for advanced data protection measures. Secure Data Flow tracks data as it moves through both sanctioned and unsanctioned channels within an organization. By complementing traditional content and sensitivity classification-based approaches with origin-based data identification, manipulation detection, and data egress controls, it effectively prevents data theft and misuse. This approach results in an “all-encompassing, 100 percent effective, false-positive-free solution that simplifies the lives of security analysts,” claims Next DLP. “Secure Data Flow represents a novel approach to data protection and insider risk management,” said Ken Buckler, research director at Enterprise Management Associates. “It not only enhances detection and protection capabilities but also streamlines data management processes. This improves the accuracy of data sensitivity recognition and reduces endpoint content inspection costs in today’s diverse technological environments.” Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 11, 2024in Generative AI, Salesforce Data Cloud, Salesforce Optimization
Autodesk Enhancements with Einstein 1
09Jul

Autodesk Enhancements with Einstein 1

Autodesk Enhances Customer Service and Agent Productivity with Salesforce AI Integration Autodesk, a leader in 3D design, engineering, and entertainment software, has strengthened its partnership with Salesforce by incorporating Salesforce AI technology into its service agent workflow. This integration aims to boost agent productivity and enhance customer satisfaction. Autodesk Enhancements with Einstein 1. Impact of Salesforce Integration By leveraging Salesforce’s CRM, trusted AI, and data solutions, Autodesk has unified data access and developed an AI-powered self-service application. This initiative aims to foster deeper customer relationships and enhance employee productivity. The integration with Salesforce is transforming Autodesk’s customer engagement and agent workflow efficiency. Key Benefits for Autodesk Accelerating Self-Service: Autodesk uses the Einstein 1 Platform, which employs AI to create actionable data and streamline processes. This has enabled the development of a comprehensive, intuitive service cloud application for Autodesk’s team. At the conclusion of customer-agent interactions, Einstein for Service generates AI-powered case summaries, reducing the time agents spend summarizing chats by 63%. Creating Frictionless Experiences: MuleSoft has been pivotal in advancing Autodesk’s automation strategy by providing integrated and unified data access across cloud solutions. This has allowed Autodesk to modernize, simplify, and connect existing SaaS applications, resulting in smoother operations. Minimizing Disruption: Salesforce Professional Services provides real-time, 24/7 monitoring, equipping Autodesk with tools to identify and resolve potential performance issues before they affect customers. Salesforce also enhances data access monitoring, leading to a 30% reduction in ongoing maintenance. Customer Perspective Prakash Kota, SVP and CIO of Autodesk, expressed enthusiasm for the partnership: “We are thrilled to partner with Salesforce as Autodesk continues to innovate, grow, and scale with the customer at the center of our business. Our teams are excited to put generative AI to work across the enterprise, enhancing the productivity of our service agents. Saving time on tasks enables our employees to focus on higher-value work.” This partnership underscores Autodesk’s commitment to customer-centric innovation and operational efficiency, leveraging Salesforce’s advanced technologies to drive continued growth and customer satisfaction. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 9, 2024in Einstein 1 Platform, Generative AI, Mulesoft, Salesforce, Salesforce Einstein
Salesforce Agentforce Platform
08Jul

Salesforce Agentforce Platform

Salesforce CEO Marc Benioff has hinted at the upcoming launch of a new AI and automation platform geared towards customer support. Salesforce Agentforce Platform. In anticipation of September’s Dreamforce event, Benioff used X, formerly Twitter, to offer a sneak peek into the platform, specifically highlighting its customer-facing “Einstein Service Agent.” In his post, Benioff underscores the essential features of the virtual agent, emphasizing how it will seamlessly blend digital and human-assisted support to expedite case resolutions. This blended experience appears to build upon the technology integrated into Salesforce following its acquisition of Airkit.ai in 2023. Airkit.ai provides a low- to no-code bot-building platform that empowers businesses to orchestrate AI-driven conversational experiences. Primarily used for service automation, Airkit enables firms to design and automate complex cross-platform workflows, enhancing automated customer interactions across Salesforce applications. The Einstein Service Agent, positioned within Salesforce’s broader Einstein 1 vision, leverages Data Cloud to create a unified, cross-functional data ecosystem. Benioff hints at the agent’s capability to span service, sales, marketing, and commerce functionalities, underscoring its pivotal role within the Salesforce ecosystem. Expanding on Airkit.ai’s foundational capabilities, Salesforce has integrated Mulesoft to enable insights triggering cross-platform automations, alongside real-time data harmonization within Data Cloud. Moreover, the platform now incorporates generative AI (GenAI), enhancing its ability to interpret text, images, and audio/video for diverse customer engagement scenarios. Despite these advancements, Benioff acknowledges that no virtual agent, even with GenAI augmentation, can resolve every customer query alone. Salesforce ensures omnichannel transfers and human handoffs to address more complex issues effectively. In an era where many vendors offer similar conversational AI capabilities, Salesforce distinguishes itself through ecosystem integration and orchestration. Benioff emphasizes the value of low- to no-code workflow orchestration, democratizing AI technology for non-programmers and fostering an inclusive AI revolution. Expect Benioff to elaborate further on these themes and unveil more details about the Agentforce Platform during his keynote at the 2024 Dreamforce event. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 8, 2024in Generative AI, Mulesoft
Sinch Omnichannel Connector
08Jul

Sinch Omnichannel Connector

Sinch (Sinch AB (publ) – XSTO: SINCH), a pioneer in global communication through its Customer Communications Cloud, has launched the Sinch Omnichannel Connector on Salesforce AppExchange. This innovative solution enhances conversational marketing and customer experiences for Salesforce Marketing Cloud customers by offering advanced one-way and two-way messaging capabilities. The solution is now available on Salesforce AppExchange. The Sinch Omnichannel Connector seamlessly integrates with the Salesforce ecosystem, enabling businesses to elevate their marketing strategies by reaching and engaging customers across their preferred channels. This new offering expands the features of Salesforce Marketing Cloud, providing a comprehensive suite of omnichannel messaging capabilities. Businesses can now connect with customers through one-way and two-way messaging across 13 diverse channels, including RCS, Kakao Talk, Viber, and Instagram. This complements Salesforce’s native channels of SMS, MMS, Email, WhatsApp, and LINE, offering a complete communication solution. “With the Sinch Omnichannel Connector, businesses can enhance their customer communications, personalize engagements, and maximize the return on their marketing investments,” said Jonathan Campbell, Senior Director, Messaging Products at Sinch. “Salesforce Marketing Cloud users can now leverage a broader spectrum of messaging channels through Sinch, beyond those directly supported by Salesforce, to optimize their marketing strategies and elevate customer engagement.” To get started, Salesforce Marketing Cloud users need an existing account and can onboard the Conversation API through the Sinch Dashboard. From there, they can easily activate the channels of their choice, tailoring their messaging strategy to suit their unique business needs. Sinch has partnered with Salesforce since 2014, when Salesforce expanded its SMS offering into international markets. Sinch is a strategic supplier for Salesforce’s global SMS delivery, providing enterprise-grade messaging solutions that support Salesforce and its global customer base. Sinch, a pioneer in global communication through its Customer Communications Cloud, has once again been named a Leader in the 2024 Gartner® Magic Quadrant™ for Communications Platform as a Service (CPaaS). Sinch sees this recognition as validation of their robust Super Network and the extensive range of communication channels they offer, including messaging, email, and voice. These capabilities enable businesses to enhance customer experience (CX) and engagement. Sinch attributes this recognition to their innovative AI capabilities, integration with over 500 platforms, and global market reach, allowing them to serve customers of all sizes worldwide. The evaluation was based on criteria that assessed the company’s Completeness of Vision and Ability to Execute. “We believe being recognized as a Magic Quadrant™ Leader for the second consecutive year confirms our commitment to our customers and our ability to help them deliver superior customer experiences,” said Laurinda Pang, CEO of Sinch. “Effective digital, one-to-one communications are vital across marketing, operations, and customer care. Sinch simplifies customer communications throughout the entire journey. Our leading API platform and comprehensive applications enable businesses to exceed customer expectations and deliver personalized communications at scale, using both established and emerging channels.” Magic Quadrant reports are based on rigorous, fact-based research in specific markets, offering a wide-angle view of the relative positions of providers in high-growth markets with distinct provider differentiation. Providers are positioned into four quadrants: Leaders, Challengers, Visionaries, and Niche Players. This research helps businesses maximize market analysis in alignment with their unique business and technology needs. View a complimentary copy of the Magic Quadrant™ report to learn more about Sinch’s strengths and cautions, as well as the offerings of other providers: https://go.sinch.com/sinch-gartner-mq-24-pr Source: Gartner, Magic Quadrant for Communication Platforms as a Service, Lisa Unden-Farboud, Pankil Sheth, Ajit Patankar, Brian Doherty, 24 June 2024. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 8, 2024in Salesforce Marketing Cloud
Salesforce Data and AI Prevent Food Waste
05Jul

Salesforce Data and AI Prevent Food Waste

FareShare’s Tech-Driven Fight Against Food Waste and Insecurity Every year, around 10 million tons of perfectly edible surplus food goes to waste in the UK, while millions struggle to afford to have enough to eat. This waste not only exacerbates food poverty but also has a significant environmental impact, with greenhouse gases from rotten or wasted food accounting for about half of all global food system emissions. Salesforce Data and AI Prevent Food Waste. Charity FareShare is acutely aware of the severity of the situation. CEO George Wright emphasizes, “If food waste was a country, it would be the third biggest producer of global greenhouse gas emissions behind America and China.” Globally, 30% of food is wasted, and in the UK, it’s 25%, encompassing food thrown away at home, ploughed back into the ground, or wasted in the hospitality and retail industries. FareShare, which started 30 years ago, originally aimed to tackle this issue by redistributing surplus food that would otherwise go to waste. Now, FareShare operates 35 warehouses across the United Kingdom, employing around 600 people and 15,000 volunteers. They collect surplus food from 700 food companies and work with 8,500 charities to redistribute it to school clubs, community centers, and faith groups. Growth Amid Crisis Although FareShare had grown into a national organization, it was still relatively small when COVID-19 hit. Wright explains, “FareShare was about £3 million in terms of fundraising. COVID came and everything boomed.” During the pandemic, demand for FareShare’s services skyrocketed. Collaborations with high-profile figures like footballer Marcus Rashford brought more focus and support. The charity’s fundraising surged from £3 million to as high as £75 million before stabilizing at around £23 million. The amount of food distributed increased from 5,000 tons in the early days to 55,000 tons. The cost-of-living crisis has further exacerbated food insecurity, with the number of people in need more than doubling from six million to 13 million. Wright notes, “The bottom 20% of our society is economically cut adrift. Therefore, we’ve seen demand explode for more and more food. Last year, we did 55,000 tons, that’s 130 million meals. We could easily double or treble that if we had access to the food and the finance.” Salesforce Data and AI Prevent Food Waste To meet this growing demand, FareShare is ramping up its use of technology, particularly Salesforce. Over the past seven years, FareShare has utilized Salesforce’s Sales and Service Cloud to manage customer contacts and some food offers. Recently, FareShare conducted a full review of its operations and technology use, deciding to significantly increase its investment in Salesforce. FareShare is now exploring how Nonprofit Cloud and Data Cloud can benefit the organization. Wright explains, “Why reinvent the wheel? If there’s something great out there, use it and use it quickly.” Nonprofit Cloud provides FareShare with a unified view of its supporters, enabling better management of food and monetary donors. Data Cloud offers a centralized data source, replacing disparate spreadsheets, to improve data management. The aim is to have a holistic view of supporters, including donation history and preferences, to enhance their experience and demonstrate the impact of their contributions. AI components within Salesforce further boost productivity by suggesting tailored communications, drastically reducing the time required for tasks like crafting donor emails. Future Prospects FareShare is in the early stages of integrating Nonprofit Cloud and Data Cloud, aiming to establish these key systems before expanding into the full Salesforce ecosystem. Wright emphasizes the broader benefits of this partnership: “We’re not just getting the tools, we’re getting ways of working.” The primary objective for the additional Salesforce technology is improving fundraising. FareShare needs enhanced tech to scale its supporter base, generate more income, and effectively communicate the impact of donations. Wright envisions leveraging the wider Salesforce ecosystem to connect surplus food with charities in need, optimizing logistics to maximize social impact and minimize costs. The Bigger Picture FareShare sees AI playing a crucial role in tackling food waste and sustainability, potentially linking food sources and surplus across the country to charities in need. Wright concludes, “There’s more food wasted than we tackle and more charities that need more food. If we could connect those with a logistics solution, we could optimize for maximum use of food, minimum use of miles to get it to them. Maximum social impact, minimal cost. There’s a big tech opportunity there.” By harnessing the power of technology and strategic partnerships, FareShare aims to continue its mission to reduce food waste and food insecurity, creating a more sustainable and equitable future. Salesforce Data and AI Prevent Food Waste Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 5, 2024in Salesforce for Nonprofits
Fifth Industrial Revolution
04Jul

Fifth Industrial Revolution

On this Fourt of July, it seems like a good time to discuss the Fifth Industrial Revolution (5IR), also referred to as Industry 5.0, represents a paradigm shift emphasizing collaborative integration between humans and advanced technologies to foster sustainable and human-centric industrial practices. Building upon the digital innovations of the Fourth Industrial Revolution, 5IR aims to merge technological advancements with human ingenuity to develop ethical, inclusive, and environmentally sustainable solutions. What is the Fifth Industrial Revolution? Industrial Revolution 5.0: The Transformation of The Modern Manufacturing Process to Enable Man and Machine to Work Hand in Hand. The fifth IR, also known as Industry 5.0, is characterized by advanced technologies like artificial intelligence (AI), the Internet of Things (IoT), and robotics. These technologies are being integrated into manufacturing processes, leading to highly connected and intelligent production systems. The concept of the Fifth Industrial Revolution, often discussed globally following the Fourth Industrial Revolution, incorporates themes such as sustainability, human-centered approaches, and environmental considerations. Unlike its predecessor, which focused on technological transformations such as AI, IoT, and big data within specific industrial sectors or company units, 5IR seeks broader transformation across industries, companies, and departments. This evolution addresses the limitations of the Fourth Industrial Revolution by integrating global environmental sustainability, human preferences, and circular economy initiatives. What are the challenges of the fifth IR? The greatest challenge of the fifth ir is not driven by technology but by humanity. We attach particular concern to the digital technology as it induces a false perception of the reality, and disentangles the human-to-human engagement. Initiatives of Countries in the Fifth IR To address the shortcomings of the Fourth Industrial Revolution, various countries are advancing deeper and broader concepts under the banner of the Fifth Industrial Revolution. Initiatives include: Key Technologies of the Fifth Industrial Revolution Central to the Fifth IR are technologies that promote human-machine collaboration and sustainability: Summary The 4IR prioritizes interconnected technologies and smart devices that provide value (e.g., the IoT as connections among machines). In the 5IR though, humans and machines (not only machines with one another) metaphorically begin to dance—interacting, engaging, and collaborating regularly The 5th Industrial Revolution represents a significant advancement over its predecessor by integrating technological prowess with human values and environmental stewardship. It promotes collaborative, sustainable, and resilient industrial practices on a global scale, facilitated by advanced technologies that enhance productivity, quality, and innovation across diverse sectors. In conclusion, as countries and industries transition towards Industry 5.0, the integration of AI, IoT, robotics, and biotechnology heralds a new era of industrial transformation that not only enhances economic competitiveness but also addresses global challenges through innovative, sustainable solutions. Industry 6.0(Future Concept), also known as the sixth industrial revolution, is characterized by using advanced technologies such as quantum computing, and nanotechnology over the pre-built Industry 5.0 architecture. What is the 7th industrial revolution? Biointelligence and Synthetic Biology: The Seventh Industrial Revolution might witness the convergence of AI and biotechnology, leading to the creation of biologically inspired or synthetic intelligent entities. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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July 4, 2024in Salesforce Einstein
AI Agents in Line at HR
03Jul

AI Agents in Line at HR

AI Agents in Line at HR may only be a satirical cartoon for a very short time. Sorry, Farside, but your AI bits may not be able to keep up with AI. July, 2034 — A new software unicorn has just emerged inbehind a bar in a pub in East London. Unicorn, by the way, descibes a startup company valued at over $1 billion, not necessarily with a billion dollar concept. Back to East London behind the soggy bar. Hey, its our fantasy. Besides if Amazon can start in a garage, isn’t anything possible? The CEO logs in as usual and gathers daily updates from the team. The Chief Technology Officer is suggesting a new feature to deploy. The Chief Product Officer wants to redesign the CRM (or whatever CRM has evolved to) integration. The Chief Revenue Officer is showing off the new pipeline, forecast by Accountant in a Box. The Chief Customer Officer is discussing the latest customer levitation tools and product feedback. The Chief Information Security Officer has found a new privacy conflict, which they are addressing with a newly-revised infrastructure set-up. And the Head of HR is fretting about the latest round of IT candidates. This sounds like every software business you’ve ever heard of. But the difference is that the CEO’s teammates are entirely AI, not human: The CTO is Lovable. The CPO is Cogna. The CCO is Gradient Labs. The CRO is 11x. The CISO is Zylon. Back to 2024: The Rise of AI Agents In 2024, the hottest topic in software is AI agents, or Agentic AI. Founders are rapidly standing up agentic applications that can solve specific needs in functions like sales and customer services — without a human required. Software buyers, seeing real opportunities to quickly improve their P&L, are swiftly building or purchasing these agentic products. Investors have poured hundreds of millions of dollars into startups in this space in recent months. Even Salesforce wasn’t launched with a silver AI spoon in its mouth. Salesforce began investing in artificial intelligence (AI) in 2014, when the company started acquiring machine learning startups and announced its Customer Success Platform. In 2016, Salesforce launched Einstein, its AI platform that supports several of its cloud services. Einstein is built into Salesforce products and includes features like natural language processing, machine learning, and predictive analytics. It helps organizations automate processes, make decisions based on insights, and improve the customer experience. YouTube How To Increase Revenue Using AI for CRM: Salesforce … Feb 12, 2024 — What is Salesforce Einstein? Salesforce Einstein is the first trusted artifici… TechForce Services How does Salesforce Use AI for Business Growth? Jan 31, 2024 — Powered by technologies like Machine Learning, Natural Language Processing, im… saasguru · LinkedIn · 7mo History of Salesforce AI From Predictive to Generative – LinkedIn Published Nov 27, 2023. In 2014, Salesforce, under the visionary leadership of… Twistellar AI in Salesforce: History, Present State and Prospects Organizations generate tons of data on marketing and sales, and surely your sales managers… Wikipedia Salesforce – Wikipedia In October 2014, Salesforce announced the development of its Customer Success Platform. Less than ten years ago, folks. Salesforce’s large database of data has helped the company address AI challenges quickly and with quality. The company’s data cloud offering provides AI with the right information at the right time, which can reduce friction and improve the customer experience.  Salesforce’s AI-powered solutions include: To catalyze this evolution, Salesforce strategically acquired RelateIQ in 2014. This move injected machine learning into the Salesforce ecosystem, capturing workplace communications data and providing valuable insights. Europe is home to many of these exciting companies. For example, H, a French AI agent startup, raised a $220 million seed round in May. Beyond RPA: The New Wave of AI Agents AI agents represent a significant step-change from Robotic Process Automation (RPA) bots, which, as explored last year, have several limitations due to their deterministic nature. Next-generation AI agents are non-deterministic, meaning that instead of stopping at a “dead end,” they can learn from mistakes and adjust their series of tasks. Not entirely unlock the mouse running the same maze over and over for the cheese. Eventually Mr. Squeakers learns which paths are dead ends and avoids them by making better choices at intersections. In AI Agents this makes them suited to complex and unstructured tasks and means they can transform the journey from intent to implementation in software development. They can deliver “pure work,” rather than acting only as a helpful co-pilot. The rise of AI agents is not only an opportunity to expand automation beyond what is possible with RPA but also to broadly redefine how knowledge work is performed. And by who. And even how is it defined. Given the right guardrails, next-generation AI agents have the potential to effectively and safely replace knowledge workers in many business scenarios. AI Agents in Action These agents are about to revolutionize the world of work as we know it and are already getting started. For example, Klarna recently revealed that its AI agent system handled two-thirds of customer chats in its first month in operation. While HR may not be swamped with AI CVs yet, it is certainly fathomable. One would suppose those candidates would have to be reviewed and interviewed by IT, not just HR. Here’s another deep thought. The internet of things (IoT) first appeared in a speech by Peter T. Lewis in September 1985. The Internet of Things (IoT) is a network of physical devices that can collect and transmit data over the internet using sensors, software, and other technologies. IoT devices can communicate with each other and with the cloud, and can even perform data analysis and be controlled remotely. The IoT concept was smart homes, health care environments, office spaces, and transportation. Only recently have we begun to think of the IoT as including the actual computers, or AI, in addition to sensored devices. It isn’t exactly a chicken and the egg question, but more of a

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July 3, 2024in Generative AI
Salesforce AI Journey
02Jul

Salesforce AI Journey

“We’re on an Incredible Journey”: Why Salesforce’s AI Push is Just Beginning This article originally appeared in TechRadar by Mike Moore. Salesforce AI Journey. When it comes to leveraging AI to enhance global workforces, some companies are leading the charge, particularly when their technology is at the forefront. Salesforce, known for its robust AI tools, is one such company pushing the boundaries. At its recent World Tour London event, Salesforce emphasized its commitment to AI, showcasing how its Einstein tools are already benefiting customers worldwide. TechRadar Pro spoke with Paul O’Sullivan, SVP, Solution Engineering & UKI, CTO, Salesforce, about the company’s vision for enhancing efficiency and productivity across all markets, particularly in the UK. A Wave of Innovation “We’re on an incredible journey,” O’Sullivan stated, referencing Salesforce’s $4 billion investment in the UK and Ireland in 2023. “We’re well-positioned in the UK to maximize AI’s potential and help our customers achieve true value.” This ambition is epitomized by Salesforce’s new AI center in London. The 40,000 square foot facility is set to be a hub for AI collaboration and development, addressing the growing demand for AI technology. O’Sullivan hinted that this is just the beginning. “We’re an innovation-led company—always looking ahead,” he said, highlighting the UK’s history of driving innovation as a positive indicator for AI’s future in the capital. Growing Demand and Education As demand for AI tools and services increases among businesses of all sizes, O’Sullivan acknowledged the rapid pace of change in the AI landscape. “It starts with education—at all levels,” he noted, recognizing the varying degrees of AI knowledge among business leaders. O’Sullivan compared the current AI momentum to past technological revolutions like cloud computing, websites, and ecommerce. Companies had to adapt quickly to avoid falling behind, and he noted that the window for catching up with AI might be even smaller. He predicted a “steady wave of innovation” in AI before it becomes ubiquitous in the business world, with various models and platforms vying for dominance. “It feels like everyone is in a race for AI,” he added, “and there’s a collective agreement that AI will enhance productivity and efficiency, benefiting both the bottom and top lines of big enterprises.” Human Jobs and AI Looking forward, O’Sullivan dismissed concerns that AI would replace human jobs. He suggested that AI would instead create new opportunities for human workers. “I think human nature is inherently curious,” he said. “We will continue to explore new ways of doing things and offer different levels of connection and service.” Drawing parallels to the industrial revolution, O’Sullivan pointed out that machines didn’t eliminate jobs; they increased productivity and efficiency. He believes AI will have a similar impact. “We’re going to see a new level of productivity and efficiency with AI, just as we did with the industrial revolution,” he concluded. Salesforce’s AI journey is only just beginning, promising exciting advancements and opportunities for businesses and workers alike. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 2, 2024in Salesforce, Salesforce Einstein

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