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AI Center New Era of Cross Industry Collaboration
20Jun

AI Center New Era of Cross Industry Collaboration

On Tuesday, Salesforce celebrated the launch of its new AI center in London with a complimentary training event that was attended by over a hundred software developers and administrators. This event was part of the center’s “AI Now Tour,” aimed at equipping developers from various industries with the skills to build the next generation of AI applications. AI Center New Era of Cross Industry Collaboration is an exciting new stage of artificial intelligence. A lot of “artificial intelligence” captures human creativity that is original. Regulators need to insist on training data transparency. No doubt the center will stand up plenty of conversations around regulations. This initiative underscores Salesforce’s commitment to training 100,000 developers worldwide. Attendees represented diverse sectors including automotive, financial services, retail, consumer goods, travel, hospitality, health and life sciences, and insurance. Needless to say, everyone has an appetite for AI. Reasons People Have Appetite for AI and Reasons They Do Not According to some polls, people are more concerned than excited about artificial intelligence (AI): Paul O’Sullivan, the new head of the Salesforce AI center and the UK&I CTO, discussed the center’s event and content strategy with publication TechInformed. He emphasized a plan to host “deep industry events” with a sector-specific focus, as well as cross-industry events to explore new business models. “Cross-industry opportunities are crucial in the AI landscape,” O’Sullivan noted. “For example, the future of self-driving cars impacts not just the automotive and OEM sectors but also insurance—who will be insured in the future? The driver, the car manufacturer, or the algorithm engineer?” He added that the center will foster thought leadership and cross-industry collaboration, offering new business models for customers. Despite the developer training courses being fully booked until the end of September, O’Sullivan highlighted that the 14,000 sq. ft. center, located in the Blue Fin building near Waterloo, is open to all businesses interested in exploring AI, not just Salesforce customers. In partnership with business growth agencies like London & Partners, O’Sullivan aims to extend training opportunities to local universities and apprenticeship program supporters. “We want to leverage our relationships to support the next generation, including students in art, design, and creative fields,” he said. AI Center New Era of Cross Industry Collaboration The new AI center, part of Salesforce’s $4 billion investment in the UK over the next five years, is located near iconic London landmarks such as the Tate Modern and Shakespeare’s Globe Theatre. The opening event was attended by notable UK business and industry figures, including Howard Dawber, the Deputy Mayor of London for Business and Growth, and Janet Coyle CBE, Managing Director of Grow London at London & Partners. 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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June 20, 2024in Salesforce
SFR-Embedding v2 from Salesforce
19Jun

SFR-Embedding v2 from Salesforce

The release of Salesforce Embedding Model version 2 (SFR-embedding-v2) marks a notable milestone in the field of Natural Language Processing (NLP), underscoring Salesforce’s commitment to advancing AI technologies. SFR-Embedding v2 from Salesforce. Key Highlights of the SFR-embedding-v2 Model Release: Achievement on MTEB Benchmark: SFR-embedding-v2 has achieved a top-1 position on the HuggingFace MTEB benchmark, surpassing a performance score of 70+. This accomplishment reflects its advanced capabilities and the rigorous development undertaken by Salesforce’s research team. Enhanced Multitasking Capabilities: The model introduces a new multi-stage training recipe aimed at enhancing multitasking abilities. This innovative approach enables simultaneous performance across multiple tasks, significantly improving versatility and efficiency. Advancements in Classification and Clustering: Significant strides have been made in classification and clustering tasks, enhancing the model’s ability to understand and categorize data accurately. These improvements make SFR-embedding-v2 highly effective across diverse applications, from data sorting to pattern identification. Strong Retrieval Performance: Beyond classification and clustering, the model excels in retrieval tasks, efficiently locating and retrieving relevant information from extensive datasets. This capability is crucial for AI applications requiring rapid access to data insights. Technical Specifications: SFR-embedding-v2 boasts a substantial size with 7.11 billion parameters and utilizes the BF16 tensor type. These technical specifications contribute to its robust performance and capacity to handle complex tasks, showcasing Salesforce’s innovative AI model architecture. Community and Collaboration: Developed collaboratively by a dedicated team of Salesforce researchers including Rui Meng, Ye Liu, Tong Niu, Shafiq Rayhan Joty, Caiming Xiong, Yingbo Zhou, and Semih Yavuz, the model integrates diverse expertise and innovative approaches, pivotal to its success. Future Directions: Salesforce continues to explore new avenues and enhancements for the model. Future updates aim to push the boundaries of AI capabilities, addressing current limitations and expanding its utility across various sectors. Practical Applications: The versatility of SFR-embedding-v2 extends to text generation, feature extraction, and natural language understanding, making it invaluable across industries such as healthcare and finance where accurate and efficient data processing is critical. In summary, the release of Salesforce Embedding Model version 2 represents a significant advancement in AI technology. Its top performance on benchmarks, enhanced multitasking capabilities, and improvements in critical tasks like classification and clustering underscore its potential to revolutionize AI applications. Supported by robust technical specifications and ongoing research efforts, SFR-embedding-v2 is poised to lead the AI community forward with its innovative capabilities. 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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June 19, 2024in Salesforce
Salesforce Summer 24 CMS Release
19Jun

Salesforce Summer 24 CMS Release

Salesforce CMS Salesforce Summer 24 CMS Release. Clone any content type and its variants, add an API name when you create an enhanced CMS workspace and content, and work with CMS content previews. Salesforce Summer 24 CMS Release 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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June 19, 2024in Salesforce
Recurring Donations in NPSP
19Jun

Recurring Donations in NPSP

This insight will resonate with those familiar with Salesforce, the Nonprofit Success Pack (NPSP), its various iterations, and other related Salesforce automation features. Recurring Donations in NPSP create a special challenge, Tectonic has found. For those less engaged in these topics, there are still valuable ideas to discuss. For over a decade, there has been an ongoing challenge with handling donations processed through multiple transactions. These Multi-Installment Donation Scenarios (MIDS) include: Tracking donations where the commitment and transaction occur simultaneously is straightforward. For example, credit card donations through online forms require creating a donor record (if it doesn’t already exist) and a gift record. However, when there is a time lag between commitment and transaction, similar processes can be used. The challenge arises when commitments result in multiple checks or credit card transactions over time, breaking standard rules. This has puzzled fundraisers, operations personnel, accountants, and database admins for years, leading to various approaches. Each role may prefer different methods, adding complexity. Even Salesforce has changed its approach to MIDS, resulting in multiple models/modules in circulation. If you feel overwhelmed by MIDS, you’re not alone. MIDS are one of many complex scenarios to record in a donor database. However, other scenarios are not covered in this insight, such as: There are several options for modeling MIDS in Salesforce: Donation With Payments: Commonly used for grants, NPSP automates payment scheduling according to interval rules. This is recommended for organizations using accrual accounting. Legacy Recurring Donations: Allows setting donation schedule rules, with Salesforce automatically creating donations accordingly. Suitable for projection reports and updating each donation when the transaction occurs. Enhanced Recurring Donations: Introduced by Salesforce in 2020, this module solves issues like skipping months or changing future payment amounts by creating one installment ahead. When the installment is paid, the next one is created according to the schedule/rules. Custom “Pledge” Object: Useful for grouping donations according to pledges, without needing automation for scheduling installments. Ideal for tracking multiple data points about each pledge. Our Opinion: Tectonic has a strong preference for Legacy Recurring Donations over Enhanced Recurring Donations, although it’s not a significant issue to use either. Donations with Payments are problematic and should be avoided. Here’s why: Problems with Donations with Payments: The official documentation suggests this model for accrual accounting, but this recommendation is questionable. Many readers lack a foundational understanding of accounting models. Furthermore, dividing a donation into parts (payments) complicates reporting and rollup fields. Recurring Donations Benefits: The Recurring Donations (RD) model is smart and elegant. NPSP’s automations for both Legacy and Enhanced RD modules are strategic and reliable. Using the RD model for more than just traditional recurring donations (like monthly donations) can be beneficial. Rebranding “Recurring Donation” to “Pledge Fulfillment Schedule” can naturally incorporate various MIDS types, such as grants and pledges. Top Tips for Configuring Legacy Recurring Donations: One Odd Thing: In moves management, if a donor switches from a lump sum to installment gifts, create an RD and auto-create installment donations. Delete the first donation in the series and connect the Moves Management donation to the Recurring Donation record. Legacy Recurring Donations are a preferred option for modeling MIDS. This data model is suitable for all scenarios. With proper setup, it can become a powerful tool for a data-driven fundraising department or a streamlined option for tricky use cases. Two principles of good design—“like goes with like” and “measure twice, cut once”—explain why transaction-oriented information should stay on the Donation record, and pledge-oriented information on the Recurring Donation record. 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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June 19, 2024in Salesforce Development Services, Salesforce for Nonprofits, Salesforce Implementation Services, Salesforce Nonprofit Cloud, Salesforce Public Sector Solutions
Mamba-2
19Jun

Mamba-2

Introducing Mamba-2: A New Era in State Space Model Architecture Researchers Tri Dao and Albert Gu have unveiled Mamba-2, the next iteration of their widely popular Mamba-1 model on GitHub. This new model promises significant improvements and innovations in the realm of state space models, particularly for information-dense data like language models. What is Mamba-2? M2 is a state space model architecture designed to outperform older models, including the widely used transformers. It shows remarkable promise in handling data-intensive tasks with greater efficiency and speed. Key Features of Mamba-2 Core Innovation: Structured State Space Duality (SSD) Performance Improvements Architectural Changes Performance Metrics In rigorous testing, M2 demonstrated superior scaling and faster training times compared to M1. Pretrained models, with sizes ranging from 130 million to 2.8 billion parameters, have been trained on extensive datasets like Pile and SlimPajama. Performance remains consistent across various tasks, with only minor variations due to evaluation noise. Specifications Getting Started with Mamba-2 To start using M2, install it via the command !pip install mamba-ssm and integrate it with PyTorch. Pretrained models are available on Hugging Face, facilitating easy deployment for various tasks. Conclusion Mamba-2 marks a significant advancement in state space model architecture, offering enhanced performance and efficiency over its predecessor and other models like transformers. Whether you’re engaged in language modeling or other data-intensive projects, M2 provides a powerful and efficient solution. 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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June 19, 2024in Salesforce
Generative AI Benchmark from Salesforce
18Jun

Generative AI Benchmark from Salesforce

Salesforce Introduces Generative AI Benchmark Tool for CRM Generative AI Benchmark from Salesforce evaluation tool designed to help businesses select the most suitable large language models (LLMs) for their CRM needs. Key Benefits of the Generative AI Benchmark for CRM: Tailored for CRM Applications: Silvio Savarese, EVP and Chief Scientist of Salesforce Research, highlights the importance of aligning generative AI processes with CRM goals. The benchmark helps businesses assess various LLMs using real-world CRM data, covering use cases such as sales and service scenarios. Human-Centered Evaluation Approach: The benchmark, developed by Salesforce’s Frontier AI applied research group and core product teams, leverages human professionals and real CRM data. This approach ensures a thorough evaluation across four key areas: Notable Insights: Savarese points out that larger models are not always the optimal choice. Smaller, more cost-effective models can offer satisfactory performance. He also mentions that this benchmark is just the beginning, with plans to expand metrics, use cases, and data annotations. Future evaluations will include the performance of fine-tuned models on CRM data, promising further differentiation and improvement. Salesforce’s generative AI benchmark tool offers a comprehensive and practical framework for businesses to choose the best LLMs for their CRM needs, ensuring a balance of accuracy, cost, speed, and trust and safety. 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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June 18, 2024in Generative AI
Cyber Group Targets SaaS Platforms
18Jun

Cyber Group Targets SaaS Platforms

Cyber Group UNC3944 Targets SaaS Platforms like Azure, Salesforce, vSphere, AWS, and Google Cloud UNC3944, also known as “0ktapus” and “Scattered Spider,” has shifted its focus to attacking Software-as-a-Service (SaaS) applications, as reported by Google Cloud’s Mandiant threat intelligence team. This hacking group, previously linked to incidents involving companies such as Snowflake and MGM Entertainment, has evolved its strategies to concentrate on data theft and extortion. Cyber Group Targets SaaS Platforms Attack Techniques UNC3944 exploits legitimate third-party tools for remote access and leverages Okta permissions to expand their intrusion capabilities. One notable aspect of their attacks involves creating new virtual machines in VMware vSphere and Microsoft Azure, using administrative permissions linked through SSO applications for further activities. The group uses commonly available utilities to reconfigure virtual machines (VMs), disable security protocols, and download tools such as Mimikatz and ADRecon, which extract and combine various artifacts from Active Directory (AD) and Microsoft Entra ID environments. Evolving Methods Initially, UNC3944 employed a variety of techniques, but over time, their methods have expanded to include ransomware and data theft extortion. Active since at least May 2022, the group has developed resilience mechanisms against virtualization platforms and improved their ability to move laterally by abusing SaaS permissions. The group also uses SMS phishing to reset passwords and bypass multi-factor authentication (MFA). Once inside, they conduct thorough reconnaissance of Microsoft applications like SharePoint to understand remote connection needs. According to Google Cloud’s Mandiant team, UNC3944’s primary activity is now data theft without using ransomware. They employ expert social engineering tactics, using detailed personal information to bypass identity checks and target employees with high-level access. Social Engineering and Threats Attackers often pose as employees, contacting help desks to request MFA resets for setting up new phones. If help desk staff comply, attackers can easily bypass MFA and reset passwords. If social engineering fails, UNC3944 resorts to threats, including doxxing, physical threats, or releasing compromising material to coerce credentials from victims. Once access is gained, they gather information on tools like VPNs, virtual desktops, and remote work utilities to maintain consistent access. Targeting SaaS and Cloud Platforms UNC3944 targets Okta’s single sign-on (SSO) tools, allowing them to create accounts that facilitate access to multiple systems. Their attacks extend to VMware’s vSphere hybrid cloud management tool and Microsoft Azure, where they create virtual machines for malicious purposes. By operating within a trusted IP address range, they complicate detection. Additional targets include SaaS applications like VMware’s vCenter, CyberArk, Salesforce, CrowdStrike, Amazon Web Services (AWS), and Google Cloud. Office 365 is another focus, with attackers using Microsoft’s Delve tool to identify valuable information. To exfiltrate data, they use synchronization utilities such as Airbyte and Fivetran to transfer information to their own cloud storage. The group also targets Active Directory Federation Services (ADFS) to extract certificates and employ Golden SAML attacks for continued access to cloud applications. They leverage Microsoft 365 capabilities like Office Delve for quick reconnaissance and data mining. Recommendations – Cyber Group Targets SaaS Platforms Mandiant advises deploying host-based certificates with MFA for VPN access, implementing stricter conditional access policies, and enhancing monitoring for SaaS applications. Consolidating logs from crucial SaaS applications and monitoring virtual machine setups can help identify potential breaches. 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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June 18, 2024in Salesforce, Salesforce Managed Services, Snowflake
Salesforce Education Cloud
18Jun

Get to Know Salesforce Education Cloud

Introducing the next-generation CRM for education: Education Cloud, your institution’s digital foundation for the future. In an ever-changing digital world of education, Education Cloud’s configurable and secure platform equips your institution to stay ahead, ready to meet the challenges of tomorrow. Let’s get to know Salesforce Education Cloud. Harnessing the full power of Salesforce, Education Cloud integrates insights across recruitment, admissions, and student success, providing a unified view of every learner’s complete and varied journey. With a single source of truth, your institution can create personalized experiences that foster lifelong learning — from prospective students to engaged alumni. With Salesforce at the heart of your institution’s IT solution, tasks are streamlined, scalable, and foster collaboration across departments. Education Cloud empowers your institution with cutting-edge technologies, including: Join the Trailblazer Community to connect with user groups, share best practices, and get support as you explore Education Cloud. Log in with your Salesforce credentials and engage with the Education Hub and Education Release Readiness groups. Get to Know Salesforce Education Cloud Education Cloud offers a learner-first, organization-wide platform that enhances stakeholder engagement and collaboration. Dive into what Education Cloud provides, experience it firsthand with a trial org, and discover recommended setups to prepare for your implementation. Explore What’s Included with Education Cloud Education Cloud provides an education-centric data model within Salesforce, enabling you to build applications that support the entire learning experience and meet user needs. Recruitment and Admissions Education Cloud modernizes recruitment and admissions by providing an online portal and powerful collaboration tools. Today’s prospective students expect a connected, online experience, and Education Cloud ensures your institution is ready to meet those expectations. The heart of this process is an online portal where learners can: The portal collects essential information, which is seamlessly integrated into Salesforce. To manage the complexities of recruitment and admissions, use the Recruiting and Admissions Consoles, which offer: Academic Operations Centralize and manage your institution’s academic offerings with Education Cloud’s Academic Operations. This feature allows staff to: The data you manage here becomes the foundation for tools in Recruitment & Admissions and Student Success apps, ensuring a seamless flow of information across your institution. Student Success Education Cloud equips your institution with powerful tools to support learner success, from career counseling to large-scale orientation programs. Use it to: Example: Empowering Success At Valley School District, counselor Devi Gill uses Education Cloud’s Student Success app to manage remote learning challenges, like coordinating book deliveries and assisting seniors with college applications. At Callaras University, academic advisor Adrian Morges utilizes the same app to help students like Stephanie and Stuart navigate their educational paths. Mentoring Programs Mentoring is vital for student success, providing academic guidance, career development, and personal support. Education Cloud helps you manage mentoring programs by allowing you to: Alumni Relations Sustained alumni engagement is essential for institutional growth. Education Cloud offers tools to manage alumni relationships effectively, providing a 360-degree view of each alumnus. Use it to: Developer Resources for Education Cloud Access developer resources like entity relationship diagrams (ERD), object references, and apex references to customize and extend Education Cloud to meet your institution’s needs. Explore these features and more with Education Cloud to elevate your institution’s ability to deliver personalized, scalable, and impactful educational experiences. 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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June 18, 2024in Salesforce Education Cloud
Salesforce and MySQL
18Jun

Salesforce and MySQL

Salesforce CRM houses a wealth of customer data, encompassing interactions, leads, and purchase histories. However, without proper organization, these insights risk being lost in the shuffle. Get a handle on data with Salesforce and MySQL. MySQL, a free, open-source relational database management system (RDBMS) that acts as a digital filing cabinet for structured data, including customer information. Integrating Salesforce CRM with MySQL presents a compelling solution by establishing a seamless bridge between the two systems. This integration enables businesses to efficiently transfer customer data from Salesforce into MySQL, ensuring centralized, accessible, and analyzable data. Imagine having all customer data neatly organized within a single, searchable database, facilitating holistic insights that empower informed decision-making and personalized marketing campaigns. Let’s explore the significant benefits of integrating Salesforce CRM and MySQL, and how this synergy can revolutionize your business operations. Benefits of Integrating Salesforce CRM and MySQL How to Integrate Salesforce CRM and MySQL Integrating Salesforce CRM with MySQL involves leveraging Salesforce APIs for secure data communication and synchronization. Here’s a step-by-step approach: Common Challenges and Solutions Conclusion Integrating Salesforce CRM with MySQL represents a transformative approach to streamline data management and enhance operational efficiency. By combining Salesforce’s robust CRM capabilities with MySQL’s flexible database management, businesses can unlock real-time insights, improve customer engagement, and drive strategic growth initiatives seamlessly. Embrace the power of Salesforce CRM and MySQL integration to stay competitive in today’s data-driven landscape effortlessly. 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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June 18, 2024in Salesforce
Life Sciences Cloud Organizing Clinical Trials and Outreach
18Jun

Life Sciences Cloud Organizing Clinical Trials and Outreach

Salesforce CRM announced today its expansion into the life sciences sector with the launch of a new cloud platform designed to enhance engagement between medical technology providers, pharmaceutical companies, patients, and healthcare professionals. The Salesforce Life Sciences Cloud platform, now available, integrates advanced artificial intelligence capabilities from the Einstein 1 Platform. These AI capabilities aim to streamline clinical operations and processes by harnessing insights from all aspects of organizational data. Life Sciences Cloud Organizing Clinical Trials and Outreach. One of the primary benefits of the Life Sciences Cloud platform is its ability to optimize clinical trials, particularly in streamlining the recruitment and enrollment of participants. By leveraging AI, the platform can identify and match qualified candidates for clinical trials based on specific prescreening and eligibility criteria, significantly reducing the time traditionally spent on these processes. The platform facilitates the creation of personalized online portals for each clinical trial, making it easier for eligible patients to discover and enroll in trials relevant to them. It also simplifies the enrollment process through customizable e-consent forms. Using Einstein Copilot, an AI assistant, organizations can automate the identification of potential trial participants based on criteria such as proximity to trial sites, drawing data from sources like spreadsheets and electronic health records. This capability enhances efficiency by proactively reaching out to suitable candidates. Life Sciences Cloud Organizing Clinical Trials and Outreach Salesforce emphasizes the platform’s potential to alleviate common challenges in clinical trials, where recruitment delays and participant retention issues often hinder progress. By addressing these inefficiencies, Life Sciences Cloud aims to improve the operational timelines and success rates of clinical trials. Beyond clinical trials, the platform features a pilot patient benefits verification tool that helps organizations swiftly assess pharmaceutical costs and eligibility for financial assistance. Integrated with Einstein Copilot, this tool supports bulk re-verifications, ensuring continuous access to treatments for patients requiring periodic authorizations. Additionally, the platform includes a pilot patient program outcome management module, which automates the evaluation of educational and support programs’ impact on patients. This module aids in enhancing patient engagement and adherence to treatment plans by sending automated reminders and analyzing the effectiveness of engagement strategies. Salesforce’s Life Sciences Cloud also offers robust data analytics capabilities, leveraging Salesforce Data Cloud and MuleSoft for Life Sciences to unify structured and unstructured data sources. This unified data model provides comprehensive profiles for each patient and healthcare provider, enabling personalized interactions and informed decision-making. Frank Defesche, Senior Vice President and General Manager of Life Sciences at Salesforce, highlighted the platform’s role in enabling life sciences organizations to navigate challenges such as rising drug costs and regulatory complexities. He emphasized AI’s transformative potential in optimizing operational processes and prioritizing patient-centric approaches across the industry. Overall, Salesforce’s Life Sciences Cloud represents a significant advancement in leveraging AI-driven technologies to enhance efficiency, engagement, and outcomes within the life sciences sector. 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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June 18, 2024in Einstein 1 Platform, Life Sciences Cloud, Mulesoft, Salesforce Data Cloud
Salesforce Summer 24 Industries Release
18Jun

Salesforce Summer 24 Industries Release

Industries Salesforce Summer 24 Industries Release Industries solutions shape Salesforce to the needs of your business, reducing the need for you to customize things yourself. Consumer Goods Cloud streamlines delivery and distribution processes with Direct Store Delivery and Van Sales. Optimize service operations in the field with Field Service for Industries. Health Cloud integrates with Milliman Care Guidelines (MCG) to bring industry-standard assessments to Integrated Care Management. Loyalty Management gives marketing managers greater flexibility with Global Promotions Management. Manufacturing Cloud helps manufacturers streamline the process of recovering costs on defective parts from suppliers with Warranty Supplier Recovery. Salesforce for Education helps students plan their degrees better with Intelligent Degree Planning. We also have plenty of changes for Automotive Cloud, Salesforce for Nonprofits, Public Sector Solutions, Industries common features, and much more. Salesforce Summer 24 Industries Release 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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June 18, 2024in Public Sector Solutions, Salesforce, Salesforce for Nonprofits
Metrics That Matter in Field Service
17Jun

Metrics That Matter in Field Service

To gauge success in field service management, it’s crucial to measure key metrics, ranging from tactical aspects to customer satisfaction. Establishing Key Performance Indicators (KPIs) for field service can significantly contribute to the efficiency and revenue growth of your business. This guide outlines straightforward fixes and capabilities to achieve positive results in field service and attain faster time-to-value. If your company has recently invested in AI-powered field service management, you’re already taking steps to future-proof your business. The next essential move is to integrate your field service management solution with your Customer Relationship Management (CRM) platform. This connection provides a comprehensive customer view, highlighting operational efficiency and areas for improvement. By connecting these systems, you gain insights into crucial field service metrics, spanning from tactical elements like first-time fix rate and time to site to the paramount field service KPI: customer satisfaction. If improvements are not evident in these areas, consider implementing simple fixes and capabilities to yield positive outcomes for both customers and operational costs. Customer Satisfaction: Employee and Contractor Turnover: Overall Costs: Sales Leads: If your field service operation shows room for improvement in these core metrics, consider taking a guided course on field service basics to maximize the potential of your field service management solution. Transform your business by incorporating AI-powered field service management, setting up your teams for success and achieving increased revenue, productivity, and cost savings. 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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June 17, 2024in Salesforce
Hybrid Worker Satisfaction
17Jun

Hybrid Worker Satisfaction

Hybrid Worker Satisfaction One of the most debated topics of the post-pandemic era is whether hybrid work represents the best or worst of both worlds. Hybrid Worker Satisfaction can be built at just about any company. A study published in Nature found that hybrid work significantly boosts job satisfaction, with negligible productivity loss. It also promotes employee well-being and benefits businesses such as cafes and gyms. Proponents of hybrid work argue that it enhances work-life balance and engagement. Studies have shown it has increased women’s participation in the labor force. However, employers often worry that it may reduce employee productivity and collaboration. A new study published in Nature might settle the debate. It suggests that productivity concerns are negligible and that hybrid work could indeed be the optimal setup for workers. The study tracked over 1,600 employees of Trip.com, a Chinese travel agency, for two years, dividing them into two groups: one working in the office five days a week, and the other working three days in the office and two days at home. The hybrid group exhibited higher job satisfaction and a one-third reduction in quit rates, particularly among non-managers, women, and those with long commutes. There were no significant downsides. The study found no measurable impact on performance or productivity. Managers also became more supportive of hybrid work after participating in the study. We might have not had the light bulb experience, were it not for the pandemic. But we did. The stufdy concluded that hybrid work can increase company profits by reducing quit rates, which are “estimated to cost about 50% of an individual’s annual salary.” It also provides substantial societal benefits by offering a valuable perk to employees, reducing commuting, and easing child-care challenges. Additionally, hybrid work can boost earnings for other local businesses like cafes, bars, gyms, and beauty salons, all of which have seen increased revenue due to the work-from-home economy. If you are struggling with making your company more hybrid-work friendly, talk to Tectonic. Our cloud-based solutions help everyone work smarter, right where they are. 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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June 17, 2024in Salesforce
Time to Reset AI Expectations
17Jun

Time to Reset AI Expectations

AI is often portrayed as either the ultimate solution to all our problems or a looming threat that must be handled with extreme caution. These are the two polar extremes of a debate that surrounds any transformative technology, and the reality likely lies somewhere in the middle. Time to Reset AI Expectations. At the recent 2024 MIT Sloan CIO Symposium, AI was the central theme, with numerous keynotes and panels devoted to the topic. The event also featured informal roundtable discussions that touched on legal risks in AI deployment, AI as a driver for productivity, and the evolving role of humans in AI-augmented workplaces. Time to Reset AI Expectations A standout moment was the closing keynote, “What Works and Doesn’t Work with AI,” delivered by MIT professor emeritus Rodney Brooks. Brooks, who directed the MIT AI Lab from 1997 to 2003 and was the founding director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) until 2007, offered insights to distinguish between the hype and reality of AI. A seasoned robotics entrepreneur, Brooks founded several companies, including iRobot, Rethink Robotics, and Robust.AI. In his keynote, Brooks introduced his “Three Laws of Artificial Intelligence,” which serve to ground our understanding of AI: Brooks reminded the audience that AI has been a formal academic discipline since the 1950s when its pioneers believed that nearly every aspect of human intelligence could, in principle, be encoded as software and executed by increasingly powerful computers. Decades of Efforts In the 1980s, leading AI researchers were confident that within a generation, AI systems capable of human-like cognitive abilities could be developed. They secured government funding to pursue this vision. However, these projects underestimated the complexities of replicating human intelligence, particularly cognitive functions like language, thinking, and reasoning, in software. After years of unmet expectations, these ambitious projects were largely abandoned, leading to the so-called AI winter—a period of reduced interest and funding in AI. AI experienced a resurgence in the 1990s with a shift towards a statistical approach that analyzed patterns in vast amounts of data using sophisticated algorithms and high-performance supercomputers. This data-driven approach yielded results that approximated intelligence and scaled far better than the earlier programming-based models. Over the next few decades, AI achieved significant milestones, including Deep Blue’s 1997 victory over chess grandmaster Garry Kasparov, Watson’s 2011 win in the Jeopardy! Challenge, and AlphaGo’s 2016 triumph over Lee Sedol, one of the world’s top Go players. AI also made strides in autonomous vehicles, as evidenced by the successful completion of the 2007 DARPA Grand Challenge and the 2012 DARPA Robotics Challenge for disaster response robots. Is It Different Now? Following these achievements, AI seemed poised to “change everything,” according to Brooks. But is it really? Since 2017, Brooks has published an annual Predictions Scorecard, comparing predictions for future milestones in robotics, AI, machine learning, self-driving cars, and human space travel. “I made my predictions because, then as now, I saw an immense amount of hype surrounding these topics,” Brooks said. He observed that the media and public were making premature conclusions about the impact of AI on jobs, road safety, space exploration, and more. “My predictions, complete with timelines, were meant to temper expectations and inject some reality into what I saw as irrational exuberance.” So why have so many AI predictions missed the mark? Brooks, who has a penchant for lists, attributes this to what he calls the Seven Deadly Sins of Predicting the Future of AI. In a 2017 essay, he described these “sins”: The takeaway? While AI has made remarkable progress, there’s still a long journey ahead. It’s Time to Reset AI Expectations. 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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June 17, 2024in Salesforce
Hollywood's Fear of AI
17Jun

Hollywood’s Fear of AI

For the past 18 months, there has been a focus on why Generative AI (GenAI) poses a disruptive threat to Hollywood. Hollywood’s Fear of AI is entirely reasonable. This insight, most recently detailed in an investor presentation, highlights how GenAI will democratize high production-value video creation and exacerbate the low-end disruption of Hollywood already underway by creator content. The exploration now turns to another angle: why it will be challenging for major studios to capitalize on these tools, particularly AI video generators like Sora, Veo, and Runway Gen-3. Hollywood’s Fear of AI. Key Points: Early Adoption Outside Major Studios: The most promising early use cases for AI video generators will be outside major Hollywood studios. These include empowering independent creators and producers, as well as applications in advertising, music videos, and educational or corporate videos. AI won’t replace Hollywood but poses a bigger risk of disrupting it, requiring a disruptive innovation and incumbents who can’t respond effectively. Detailed Analysis: Sora’s Impact: AI has been part of the TV and film production process for a long time. Many studios use AI for concept art, localization services, and post-production work. However, AI video generators like Sora represent a new way to create video, potentially replacing much of the principal photography. The announcement of Sora was a watershed moment, showcasing radical improvements in temporal coherence, character consistency, and video length. Hollywood’s Fear of AI Legal Quagmire: Hollywood’s extensive legal framework complicates the adoption of GenAI. Studios need clear legal resolutions before extensively using GenAI in principal photography. The primary concerns are: Technical Limitations: AI video generators still fall short of professional standards. Issues include limited training sets, lack of understanding of physics, history, and geography, and insufficient control over video production elements like camera angles, lighting, and film stock. Near-Term Use Cases: Conclusion: While AI video generators won’t replace traditional Hollywood production soon, they have the potential to significantly disrupt the industry. The early adoption of these tools will likely occur outside the major studios, empowering independent creators and other sectors like advertising and education. The evolution of AI video generators continues to pose both challenges and opportunities for Hollywood. 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 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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June 17, 2024in Generative AI

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