Data Access - gettectonic.com
salesforce for manufacturing
02Dec

Salesforce for Manufacturing

Salesforce for Manufacturing: Field Service Spark that Fuels Operational Excellence Traffic control ensures vehicles stay on course, avoid disruptions, and arrive safely, safeguarding travelers. Similarly, Salesforce Field Service (formerly known as Salesforce Field Service Lightning) acts as the traffic cop for effective field service management, ensuring seamless operations. It assigns the right tasks to the right technicians with real-time updates and provides essential tools for optimal efficiency. This comprehensive platform addresses routing needs while streamlining processes to boost operational outcomes. “The key is not to prioritize what’s on your schedule, but to schedule your priorities.” – Stephen Covey Salesforce Field Service eliminates guesswork in scheduling. By leveraging data-driven strategies, it enhances operational efficiency and integrates effortlessly into manufacturing workflows. Implementation of this platform results in a 32% increase in mobile worker productivity, making it an essential solution for manufacturers today. To unlock its full potential, partnering with a Salesforce consulting expert like Tectonic ensures the solution is tailored to your specific needs. In this insight, we’ll explore how Salesforce Field Service can optimize manufacturing operations, improve productivity, and transform field service management into a streamlined and efficient process. Understanding Salesforce for Manufacturing Traffic control’s efforts to ensure smooth operations mirror the complexity of managing manufacturing field service tasks. Manufacturers often face challenges such as technician scheduling difficulties and communication breakdowns. Salesforce Field Service effectively addresses these issues with features like: With Salesforce Field Service, manufacturers achieve control, visibility, and operational efficiency, transforming chaos into coordinated success. 90% of decision-makers say their company invests in specialized technology to improve mobile worker productivity. – Salesforce Benefits of Salesforce Field Service in Manufacturing Salesforce Use Cases for Manufacturing Real-Life Success Stories with Salesforce Field Service Why Tectonic is the Ideal Partner for Salesforce Field Service Implementation Problem Statement: A leading electrical appliance manufacturer struggled with outdated manual scheduling, inefficient workflows, and excessive field visits, negatively impacting efficiency and customer satisfaction. Solution Offered: Salesforce implemented Salesforce Service Cloud integrated with Field Service, optimizing scheduling, dispatching, and field operations for enhanced productivity and superior customer service. Results Achieved: Your Path to Field Service Excellence Just as traffic control ensures safe and timely travelts, Salesforce Field Service organizes and streamlines field operations. With its capabilities for real-time scheduling, proactive maintenance, and optimized routing, it becomes an invaluable resource for manufacturers. Tectonic’s Salesforce consulting expertise ensures your manufacturing needs are met with precision. By implementing a tailored solution, you’ll unlock operational efficiency, enhance customer satisfaction, and drive business growth. Contact us now to take your manufacturing success to the next level! 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

Read More
December 2, 2024in Data, Salesforce, Salesforce Service Cloud, Technology0 Comments
Digital Transformation and Security Challenges
29Nov

Digital Transformation and Security Challenges

Agencies Accelerate Digital Transformation Amid Growing Security Demands Federal agencies are ramping up digital transformation initiatives to meet evolving public expectations and comply with mandates like the 21st Century Integrated Digital Experience Act (IDEA). However, securely transitioning to modern platforms like Salesforce requires specialized expertise, as highlighted in a new e-book by Own Company. The push for digital transformation is driven by the need to deliver efficient, modernized citizen services while safeguarding critical data. According to Federal Chief Information Officer Clare Martorana, agencies face a dual challenge: adopting advanced technologies and ensuring compliance with stringent security and regulatory frameworks. Salesforce, a leading SaaS platform, plays a pivotal role in these modernization efforts, offering tools to replace outdated systems and streamline operations. Yet, moving to such platforms involves more than migrating legacy data. Agencies must also address complex security requirements and ensure compliance with government regulations. To support secure transitions, companies like Own Company have emerged as key partners in federal digital transformation. Their solutions focus on secure development, data recovery, and long-term archiving. Tools like “Own Accelerate” enable safe and efficient testing within sandbox environments, while “Own Secure” leverages data classification and zero-trust principles to prevent security vulnerabilities. These measures mitigate risks such as insider threats and configuration errors, ensuring sensitive data remains protected throughout the transition process. Compliance with mandates like the Federal Information Security Management Act (FISMA) and National Institute of Standards and Technology (NIST) protocols remains a top priority. Agencies must safeguard citizen data across services ranging from healthcare to housing assistance while maintaining security and operational efficiency over the data’s lifecycle. Secure backups, compliance audits, and controlled data access are essential for building trust and resilience. As agencies incorporate AI into their operations, robust data strategies are becoming even more critical. AI-driven tools rely on accurate, real-time data for effective training and decision-making. Own’s backup and archiving solutions help agencies unlock data for AI applications while managing compliance and controlling storage costs. Ultimately, successful digital transformation requires more than adopting new technologies — it demands a careful balance of modernization, security, cost-efficiency, and alignment with agency missions. By acting decisively and addressing these challenges, federal agencies can meet rising public expectations while maintaining compliance and security. 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

Read More
November 29, 2024in Data, Salesforce, Technology0 Comments
AI-Driven Healthcare Approvals
27Nov

AI-Driven Healthcare Approvals

Salesforce and Blue Shield of California are launching an AI-driven system to streamline healthcare approvals, aiming to cut down prior authorization wait times from weeks to, potentially, the same day. This partnership, leveraging Salesforce’s healthcare cloud, integrates patient data to streamline approvals while retaining clinician oversight, ensuring AI decisions are always reviewed by a human expert.

Read More
November 27, 2024in Data, Salesforce, Salesforce Health and Life Sciences Solutions, Technology0 Comments
Value-Based Care Technologies
22Nov

Value-Based Care Technologies

Essential Technologies for Value-Based Care Success As healthcare providers increasingly adopt value-based care, they must invest in the right technologies and resources to succeed in this model, which incentivizes high-quality, cost-effective care. Value-Based Care Technologies tie reimbursement to care quality, making providers accountable for patient outcomes while providing resources to enhance care. As of 2021, nearly 60% of healthcare payments were already tied to value-based models, according to the Health Care Payment Learning and Action Network (HCP LAN). While partnerships can initiate value-based care, providers must invest in the right technology to fully achieve the intended outcomes. Health Information Exchange (HIE) A robust health information exchange (HIE) is fundamental to value-based care, as it enables providers and payers to access high-quality data seamlessly. HIE allows healthcare professionals to share patients’ medical information electronically across organizations, promoting care coordination by giving providers a comprehensive view of patient needs. For patients, HIE enables more informed involvement in their care by making their health data accessible across specialists, labs, and pharmacies. While joining an HIE may involve new technology investments and workflow adjustments, it ultimately enhances provider access to critical health data. Population Health Management Tools Population health management tools help providers assess health outcomes within groups rather than focusing on individuals alone. These tools aggregate and analyze data, allowing practices to identify high-risk patients and create targeted interventions. This not only enhances health outcomes but can also reduce costs by avoiding expensive treatments. Patient engagement tools, such as telehealth and remote patient monitoring, are essential in population health management, especially for monitoring high-risk patients when in-person care is not feasible. Digital surveys integrated within patient portals can provide insights into social determinants of health, adding a broader context to patient needs. Data Analytics Data analytics transform healthcare data into actionable insights across four types: descriptive, diagnostic, predictive, and prescriptive. Providers can use these analytics to reduce hospital readmissions, predict diseases, and identify chronic illnesses. Data integration and risk stratification capabilities are especially valuable in value-based care, enabling providers to track patient health outcomes effectively and prioritize high-risk cases. Artificial Intelligence & Machine Learning AI and machine learning support many data analytics functions, helping identify patient needs and easing administrative burdens. Given staffing shortages and burnout—reported by 63% of physicians in 2021, according to the American Medical Association (AMA)—AI can automate tasks like documentation, charting, and scheduling, allowing providers to focus more on patient care. Additionally, AI-driven automation in revenue cycle management tasks, such as billing and coding, can reduce the administrative workload associated with value-based care. Price Transparency Technology Price transparency empowers patients to seek cost-effective care, a core principle of value-based models. When providers comply with transparency regulations, patients can better understand their costs and make informed decisions. For providers, leveraging price transparency tools ensures compliance and facilitates partnerships with payers by enabling more effective negotiation, which supports the overall goals of value-based care. As healthcare continues shifting to value-based models, investing in these technologies is critical for providers aiming for long-term success. While these tools rdo equire substantial investment, they are essential for improving patient outcomes, optimizing care quality, and ensuring sustainability in value-based care. When evaluating and choosing healthcare technology tools, contact Tectonic for help. 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

Read More
November 22, 2024in AI Tools, Artificial Intelligence, Data, Life Sciences Cloud, Salesforce, Salesforce Development Services, Salesforce Foundations, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud, Salesforce Implementation Services, Salesforce Optimization, Technology0 Comments
Collaborative Business Intelligence
21Nov

Collaborative Business Intelligence

Collaborative BI combines BI tools with collaboration platforms, enabling users to connect data insights directly within their existing workflows. This integration enhances decision-making by reducing misunderstandings and fostering teamwork through real-time or asynchronous discussions about data. In traditional BI, data analysis was handled by data scientists and statisticians who translated insights for business users. However, the rise of self-service BI tools has democratized data access, allowing users of varying technical skills to create and share visualizations. Collaborative BI takes this a step further by embedding BI functions into collaboration platforms like Slack and Microsoft Teams. This setup allows users to ask questions, clarify context, and share reports within the same applications they already use, enhancing data-driven decisions across the organization. One real-life time saver in my experience is being able as a marketer to dig in to our BI and generate lists myself, without depending upon a team of data scientists. Benefits of Collaborative BI Leading Collaborative BI Platforms Several vendors offer collaborative BI solutions, each with unique integrations for communication and data sharing: Collaborative BI bridges data analysis with organizational collaboration, creating an agile environment for informed decision-making and effective knowledge sharing across all levels. 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

Read More
November 21, 2024in Data, Salesforce0 Comments
How Does Salesforce Use AI
19Nov

How Does Salesforce Use AI

With all the buzz in the news about AI, it may feel like AI is everywhere. In fact, as of 2023, over 80% of global companies report adopting AI to enhance their business operations. This means if your company isn’t yet leveraging AI to strengthen customer relationships, you risk falling behind. The good news is that Salesforce CRM already comes with a suite of AI tools ready for use. In this insight, we’ll explore how combining quality data, AI, and Salesforce can help you build more meaningful, lasting relationships with your customers. How Does Salesforce Use AI? Salesforce offers various built-in functionalities to create customizable, predictive, and generative AI experiences tailored to your business needs. One standout tool is Agentforce, which enables the creation of autonomous AI agents. If you have numerous routine tasks but limited staff, Agentforce could be the solution. For instance, if you lack an in-house customer support agent, Agentforce can build an AI service agent to handle incoming cases, responding intuitively in real-time. Not enough sales reps? No problem—create an AI sales agent to manage records, interact with leads, answer questions, and schedule meetings. Another significant AI feature is generative AI in Salesforce. According to KPMG, 77% of executives believe generative AI will have a more profound societal impact in the next three to five years than any other emerging technology. So, how can it improve your business? Salesforce’s in-house LLM, xGen, helps you generate human-like text and create original visual content from existing data or user input. This capability can enhance user experiences by automating the generation of dynamic and personalized imagery for applications. Generative AI also transforms how users interact with and consume data. Complex datasets can now be converted into easily understandable formats—visualizations, charts, or graphs—generated from natural language prompts. These insights make data accessible, enabling users to share knowledge and drive informed decisions. How Can You Use AI to Improve Customer Relationships? AI is reshaping business models, workflows, and customer engagement. By harnessing quality data, AI, and Salesforce, you can enhance how you connect with customers. Here are key ways to leverage this combination for a smarter customer strategy: Challenges You May Encounter on Your AI Journey Adopting AI in Salesforce, especially Einstein AI, offers many benefits, but it also comes with challenges. Here are some factors to consider for a successful rollout: Importance of Data Quality When Using AI Analytics Data quality is essential for AI accuracy and reliability. Poor data can skew predictions and erode user trust. Key factors that contribute to high data quality include: AI can also enhance data quality by automating data validation and cleansing. Machine learning algorithms can detect and address anomalies, duplicate records, and incomplete datasets, improving the reliability of your data over time. The Future of CRM: AI-Driven Customer Engagement and Business Growth Integrating AI into Salesforce is revolutionizing CRM by enabling businesses to engage with customers more intelligently. From automating routine tasks to enhancing decision-making and delivering personalized communication, AI-driven innovations are empowering businesses to build stronger relationships with customers. As AI continues to evolve, those who embrace it will gain a competitive edge and drive long-term growth. The future of CRM is here—and it’s smarter, faster, and more customer-focused than ever. 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

Read More
November 19, 2024in AI Tools, Data, Generative AI, Salesforce, Technology0 Comments
Salesforce Data Migration Tools
18Nov

Salesforce Data Migration Tools

In the current age of digital transformation, effective data migration is essential, especially as cloud adoption accelerates. Research from Foundry reveals that 63% of IT leaders have increased their cloud migrations, but 90% face challenges—primarily budgetary constraints. This highlights the importance of thoughtful planning and strategic execution. In this context, we’ll explore the significance of successful Salesforce data migration and present a nine-step roadmap to ensure a seamless transition. Additionally, we’ll cover solutions for data preparation and the top five Salesforce data migration tools that can help turn migration challenges into growth opportunities. Salesforce Data Migration ChecklistDownload our e-book to quickly and efficiently migrate data from Excel spreadsheets and CRM systems to Salesforce. Why is Data Migration Important?In 2010, I bought my first smartphone and struggled to transfer data from my outdated phone. My contacts were vital, but the old phone lacked proper data transfer options. Determined not to re-enter everything manually, I searched for a solution. Eventually, I found a method to extract data into a CSV file, which I converted to vCard format to transfer successfully. This experience reinforced how essential data migration is—not only for businesses but also for everyday situations. For organizations looking to modernize, data migration is a crucial step in upgrading IT infrastructure. It enables smooth transitions from legacy systems to modern platforms like Salesforce, enhancing efficiency, scalability, and data accessibility. Effective data migration improves data management, reduces costs tied to outdated systems, and supports better decision-making through improved analytics. It also ensures data integrity and security, aligning IT capabilities with evolving business needs, fostering innovation, and keeping a competitive edge. What is Data Migration in Salesforce?Whether you are already using Salesforce or considering adoption, one common question arises: “How do I migrate my data to Salesforce?” Salesforce data migration involves moving information from external systems like legacy CRMs or local databases into Salesforce. This process is critical not only for protecting data integrity but also for enabling better decision-making, improving customer service, and promoting organizational growth. A well-planned data migration strategy ensures a smooth transition to Salesforce, maximizing its potential and enhancing business efficiency. 9-Step Salesforce Data Migration PlanPreparing for a Salesforce data migration? Follow these nine essential steps for a seamless process: Need Help with Data Migration to Salesforce?We offer consulting services to guide you through the data migration process, from auditing data sources to executing the migration strategy. Tectonic is here to help. Top 5 Salesforce Data Migration ToolsHere’s a quick comparison of five Salesforce data migration tools to help you choose the right solution: For hassle-free data migration, reach out to Tectonic for a tailored plan that minimizes downtime and maximizes operational efficiency. 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

Read More
November 18, 2024in Data, Salesforce0 Comments
AI Won't Hurt Salesforce
12Nov

AI Won’t Hurt Salesforce

Marc Benioff Dismisses AI Threats, Sets Sights on a Billion AI Agents in One Year Salesforce CEO Marc Benioff has no doubts about the transformative potential of AI for enterprise software, particularly Salesforce itself. At the core of his vision are AI agents—autonomous software bots designed to handle routine tasks, freeing up human workers to focus on more strategic priorities. “What if your workforce had no limits? That’s a question we couldn’t even ask over the past 25 years of Salesforce—or the 45 years I’ve been in software,” Benioff said during an appearance on TechCrunch’s Equity podcast. The Billion-Agent Goal Benioff revealed that Salesforce’s recently launched Agentforce platform is already being adopted by “hundreds of customers” and aims to deploy a billion AI agents within a year. These agents are designed to handle tasks across industries—from enhancing customer experiences at retail brands like Gucci to assisting patients with follow-ups in healthcare. To illustrate, Benioff shared his experience with Disney’s virtual Private Tour Guides. “The AI agent analyzed park flow, ride history, and preferences, then guided me to attractions I hadn’t visited before,” he explained. Competition with Microsoft and the AI Landscape While Benioff is bullish on AI, he hasn’t hesitated to criticize competitors—particularly Microsoft. When Microsoft unveiled its new autonomous agents for Dynamics 365 in October, Benioff dismissed them as uninspired. “Copilot is the new Clippy,” he quipped, referencing Microsoft’s infamous virtual assistant from the 1990s. Benioff also cited Gartner research highlighting data security issues and administrative flaws in Microsoft’s AI tools, adding, “Copilot has disappointed so many customers. It’s not transforming companies.” However, industry skeptics argue that the real challenge to Salesforce isn’t Microsoft but the wave of AI-powered startups disrupting traditional enterprise software. With tools like OpenAI’s ChatGPT and Klarna’s in-house AI assistant “Kiki,” companies are starting to explore GenAI solutions that can replace legacy platforms like Salesforce altogether. For example, Klarna recently announced it was moving away from Salesforce and Workday, favoring GenAI tools that enable seamless, conversational interfaces and faster data access. Why Salesforce Is Positioned to Win Despite the noise, Benioff remains confident that Salesforce’s extensive data infrastructure gives it a significant edge. “We manage 230 petabytes of customer data with robust security and sharing models. That’s what allows AI to thrive in our ecosystem,” he said. While companies may question how other platforms like OpenAI handle data, Salesforce offers an integrated approach, reducing the need for complex data migrations to other clouds, such as Microsoft Azure. Salesforce’s Own Use of AI Benioff also highlighted Salesforce’s internal adoption of Agentforce, using AI agents in its customer service operations, sales processes, and help centers. “If you’re authenticated on help.salesforce.com, you’re already interacting with our agent,” he noted. AI Startups: Threat or Opportunity? As for concerns about AI startups overtaking Salesforce, Benioff sees them as acquisition opportunities rather than existential threats. “We’ve made over 60 acquisitions, many of them startups,” he said. He pointed to Agentforce itself, which was built using technology from Airkit.ai, a startup founded by a former Salesforce employee. Salesforce Ventures initially invested in Airkit.ai before acquiring and integrating it into its platform. The Path Forward Benioff is resolute in his belief that AI won’t hurt Salesforce—instead, it will revolutionize how businesses operate. While skeptics warn of a seismic shift in enterprise software, Benioff’s strategy is clear: lean into AI, leverage data, and stay agile through innovation and acquisitions. “We’re just getting started,” he concluded, reiterating his vision for a future where AI agents expand the possibilities of work and customer experience like never before. 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

Read More
November 12, 2024in Agentforce Platform, AI Tools, Data, Enterprise, Laws, Salesforce, Technology0 Comments
Salesforce and Firmable
07Nov

Salesforce and Firmable

Firmable Launches Salesforce Integration to Enhance CRM Workflows Firmable has unveiled its latest integration with Salesforce, further expanding its CRM ecosystem to support over 20,000 Salesforce users across Australia. By embedding its extensive Australian dataset directly into Salesforce, Firmable empowers businesses to optimize workflows, improve productivity, and elevate their sales and marketing efforts. This integration adds to Firmable’s suite of CRM solutions, which also includes compatibility with platforms like HubSpot, making its rich dataset an integral part of daily business operations. Key Benefits of the Firmable-Salesforce Integration A Comprehensive Solution for Australian Businesses Firmable’s integration with Salesforce brings unparalleled ease of use and precision to CRM workflows. By embedding its rich Australian data into everyday tools, businesses can streamline lead generation, enhance customer engagement, and boost sales effectiveness. 🔔🔔 Follow us on LinkedIn 🔔🔔 Ready to transform your sales and marketing strategies? Firmable is now available for trial or purchase at firmable.com. 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

Read More
November 7, 2024in Data0 Comments

Cohesity Data Explore

Cohesity has introduced Data Explore, a new feature in its Gaia generative AI platform, aimed at simplifying data search within backups for any employee. The update, launched this week, adds keyword search capabilities and data visualization through topic word clouds, enhancing user access to valuable information. Previously, users could interact with Gaia’s conversational AI interface to ask questions about stored data. Data Explore now extends this by enabling users to browse frequent keywords within data sets and receive search suggestions to help refine their queries. This addition is particularly valuable for users who may not know exactly what to ask when exploring backup data. As part of the update, Gaia’s support for file storage systems has also expanded. Gaia now integrates with both on-premises and cloud-based file servers, such as Dell Technologies’ PowerScale and NetApp systems, in addition to existing support for Microsoft 365 services like Outlook, SharePoint, and OneDrive. This enhanced search functionality reflects a broader trend among backup vendors to deliver greater utility from stored data, according to Simon Robinson of TechTarget’s Enterprise Strategy Group. He noted that tools making data accessible to non-experts bring businesses closer to the goal of actionable insights. “You don’t need to be a corporate librarian to use this stuff,” Robinson said. Data Explore’s semantic indexing, similar to internet search engines, aids users by automatically surfacing keywords, questions, and suggestions, making backup data more searchable and actionable. According to Krista Case, an analyst at Futurum Group, this helps reduce AI hype by grounding Gaia in practical use cases, facilitating faster insights for end users. Since Gaia’s launch as a SaaS add-on for Cohesity Data Cloud, its features have evolved to offer deeper insights beyond simple chatbot interactions. Greg Statton, Cohesity’s VP of AI solutions, shared that the platform aims to be more than a support agent for backup queries. The vision is to provide advanced AI tools that enhance data discovery, flag abnormal events, and reduce alert fatigue, giving IT administrators actionable intelligence that is more contextually aware of their tasks. Ultimately, Cohesity’s Data Explore feature exemplifies generative AI’s potential in unlocking business value from backup data. By making this data accessible and understandable, Cohesity is helping organizations achieve the long-awaited promise of deriving value from stored data – a milestone Robinson believes backup vendors are now on the verge of realizing. 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

Read More
October 21, 2024in AI Tools, Data, Enterprise, Generative AI
Deploying Salesforce Einstein Copilot
17Oct

Deploying Salesforce Einstein Copilot

Best Practices for Safely Deploying Salesforce Einstein Copilot When deploying Salesforce Einstein Copilot, following best practices ensures a secure, efficient, and effective integration of AI into your workflows. Here are the key steps to safely deploy Einstein Copilot: By adhering to these best practices, you can ensure a smooth, secure, and successful deployment of Salesforce Einstein Copilot, enhancing your team’s productivity while maintaining data integrity and security. 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

Read More
October 17, 2024in Data, Salesforce, Salesforce Einstein
Multi AI Agent Systems
15Oct

Multi AI Agent Systems

Building Multi-AI Agent Systems: A Comprehensive Guide As technology advances at an unprecedented pace, Multi-AI Agent systems are emerging as a transformative approach to creating more intelligent and efficient applications. This guide delves into the significance of Multi-AI Agent systems and provides a step-by-step tutorial on building them using advanced frameworks like LlamaIndex and CrewAI. What Are Multi-AI Agent Systems? Multi-AI Agent systems are a groundbreaking development in artificial intelligence. Unlike single AI agents that operate independently, these systems consist of multiple autonomous agents that collaborate to tackle complex tasks or solve intricate problems. Key Features of Multi-AI Agent Systems: Applications of Multi-AI Agent Systems: Multi-agent systems are versatile and impactful across industries, including: The Workflow of a Multi-AI Agent System Building an effective Multi-AI Agent system requires a structured approach. Here’s how it works: Building Multi-AI Agent Systems with LlamaIndex and CrewAI Step 1: Define Agent Roles Clearly define the roles, goals, and specializations of each agent. For example: Step 2: Initiate the Workflow Establish a seamless workflow for agents to perform their tasks: Step 3: Leverage CrewAI for Collaboration CrewAI enhances collaboration by enabling autonomous agents to work together effectively: Step 4: Integrate LlamaIndex for Data Handling Efficient data management is crucial for agent performance: Understanding AI Inference and Training Multi-AI Agent systems rely on both AI inference and training: Key Differences: Aspect AI Training AI Inference Purpose Builds the model. Uses the model for tasks. Process Data-driven learning. Real-time decision-making. Compute Needs Resource-intensive. Optimized for efficiency. Both processes are essential: training builds the agents’ capabilities, while inference ensures swift, actionable results. Tools for Multi-AI Agent Systems LlamaIndex An advanced framework for efficient data handling: CrewAI A collaborative platform for building autonomous agents: Practical Example: Multi-AI Agent Workflow Conclusion Building Multi-AI Agent systems offers unparalleled opportunities to create intelligent, responsive, and efficient applications. By defining clear agent roles, leveraging tools like CrewAI and LlamaIndex, and integrating robust workflows, developers can unlock the full potential of these systems. As industries continue to embrace this technology, Multi-AI Agent systems are set to revolutionize how we approach problem-solving and task execution. 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

Read More
October 15, 2024in Artificial Intelligence, Data, Technology

Subscribe to our mailing list. Join our mail list to receive our newsletter

We'll keep you up to date with our latest news, insights, free resources, and much more.
Don't worry, we won't spam you.
gettectonic.com