AI Misconceptions - gettectonic.com
AI Agents

AI Agents Interview

In the rapidly evolving world of large language models and generative AI, a new concept is gaining momentum: AI agents. AI Agents Interview explores. AI agents are advanced tools designed to handle complex tasks that traditionally required human intervention. While they may be confused with robotic process automation (RPA) bots, AI agents are much more sophisticated, leveraging generative AI technology to execute tasks autonomously. Companies like Google are positioning AI agents as virtual assistants that can drive productivity across industries. In this Q&A, Jason Gelman, Director of Product Management for Vertex AI at Google Cloud, shares insights into Google’s vision for AI agents and some of the challenges that come with this emerging technology. AI Agents Interview How does Google define AI agents? Jason Gelman: An AI agent is something that acts on your behalf. There are two key components. First, you empower the agent to act on your behalf by providing instructions and granting necessary permissions—like authentication to access systems. Second, the agent must be capable of completing tasks. This is where large language models (LLMs) come in, as they can plan out the steps to accomplish a task. What used to require human planning is now handled by the AI, including gathering information and executing various steps. What are current use cases where AI agents can thrive? Gelman: AI agents can be useful across a wide range of industries. Call centers are a common example where customers already expect AI support, and we’re seeing demand there. In healthcare, organizations like Mayo Clinic are using AI agents to sift through vast amounts of information, helping professionals navigate data more efficiently. Different industries are exploring this technology in unique ways, and it’s gaining traction across many sectors. What are some misconceptions about AI agents? Gelman: One major misconception is that the technology is more advanced than it actually is. We’re still in the early stages, building critical infrastructure like authentication and function-calling capabilities. Right now, AI agents are more like interns—they can assist, but they’re not yet fully autonomous decision-makers. While LLMs appear powerful, we’re still some time away from having AI agents that can handle everything independently. Developing the technology and building trust with users are key challenges. I often compare this to driverless cars. While they might be safer than human drivers, we still roll them out cautiously. With AI agents, the risks aren’t physical, but we still need transparency, monitoring, and debugging capabilities to ensure they operate effectively. How can enterprises balance trust in AI agents while acknowledging the technology is still evolving? Gelman: Start simple and set clear guardrails. Build an AI agent that does one task reliably, then expand from there. Once you’ve proven the technology’s capability, you can layer in additional tasks, eventually creating a network of agents that handle multiple responsibilities. Right now, most organizations are still in the proof-of-concept phase. Some companies are using AI agents for more complex tasks, but for critical areas like financial services or healthcare, humans remain in the loop to oversee decision-making. It will take time before we can fully hand over tasks to AI agents. AI Agents Interview What is the difference between Google’s AI agent and Microsoft Copilot? Gelman: Microsoft Copilot is a product designed for business users to assist with personal tasks. Google’s approach with AI agents, particularly through Vertex AI, is more focused on API-driven, developer-based solutions that can be integrated into applications. In essence, while Copilot serves as a visible assistant for users, Vertex AI operates behind the scenes, embedded within applications, offering greater flexibility and control for enterprise customers. The real potential of AI agents lies in their ability to execute a wide range of tasks at the API level, without the limitations of a low-code/no-code interface. 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
Data Cloud - Facts and Fiction

Data Cloud – Facts and Fiction

Salesforce Data Cloud: Debunking Myths and Unveiling Facts If you’ve been active on LinkedIn, attending recent Salesforce events, or even watching a myriad of sporting events, you’ve likely noticed that Salesforce has evolved beyond just CRM. It’s now CRM + DATA + AI. Although Salesforce has always incorporated these elements, with Einstein AI and data being integral to CRM, the latest innovation lies in the Data Cloud. Data Cloud – Facts and Fiction Data Cloud, formerly known as Salesforce Genie, represents Salesforce’s latest evolution, focusing on enabling organizations to scale and grow in an era where data is the new currency. It is the fastest-growing product in Salesforce’s history, pushing new boundaries of innovation by providing better access to data and actionable insights. As Data Cloud rapidly develops, potential clients often have questions about its function and how it can address their challenges. Here are some common myths about Data Cloud and the facts that debunk them. Myth: Data Cloud Requires MuleSoft Fact: While MuleSoft Anypoint Platform can accelerate connecting commonly used data sources, it is not required for Data Cloud. Data Cloud can ingest data from multiple systems and platforms using several out-of-the-box (OOTB) connectors, including SFTPs, Snowflake, AWS, and more. Salesforce designs its solutions to work seamlessly together, but Data Cloud also offers connector options for non-Salesforce products, ensuring flexibility and integration capabilities beyond the Salesforce ecosystem. Myth: Data Cloud Will De-Duplicate Your Data Fact: Harmonizing data in Data Cloud means standardizing your data model rather than de-duplicating it. Data Cloud maps fields to a common data model and performs “Identity Resolution,” using rules to match individuals based on attributes like email, address, device ID, or phone number. This process creates a Unified Individual ID without automatically de-duplicating Salesforce records. Salesforce intentionally does not function as a Master Data Management (MDM) system. Myth: Data Cloud Will Create a Golden Record Fact: Data Cloud does not create a single, updated record synchronized across all systems (a “golden record”). Instead, it retains original source information, identifies matches across systems, and uses this data to facilitate engagements, known as the Data Cloud Key Ring. For instance, it can recognize an individual across different systems and provide personalized experiences without overwriting original data. Myth: You Can’t Ingest Custom Objects from Salesforce Fact: During the data ingestion process, you can select which objects to ingest from your Salesforce CRM Org, including custom objects. The system identifies the API names of the objects and fields from the data source. Ensuring the Data Cloud integration user has access to the necessary information (similar to assigning Permission Sets) allows you to ingest and map custom objects accordingly. Myth: Data Cloud Requires a Data Scientist and Takes a Long Time to Implement Fact: While implementing Data Cloud involves ingesting, mapping data, running identity resolution, and generating insights, it does not necessarily require a data scientist. Skilled Salesforce Admins can often manage data integration from third-party applications. Effective Data Cloud implementation requires thorough planning and preparation, akin to prepping a room before painting. Identifying use cases and understanding data sources in advance can streamline the implementation process. Myth: Data Cloud is Expensive Fact: Data Cloud operates on a consumption-based pricing model. Engaging in strategic conversations with Salesforce Account Executives can help understand the financial implications. Emphasizing the value of a comprehensive data strategy and considering the five V’s of Big Data—Volume, Variety, Veracity, Value, and Velocity—ensures that your data supports meaningful business outcomes and KPIs. In Summary Salesforce Data Cloud represents a significant evolution in managing and leveraging data within your organization. It helps break down data silos, providing actionable insights to drive organizational goals. Despite initial misconceptions, implementing Data Cloud does not require extensive coding skills or a data scientist. Instead, thorough planning and preparation can streamline the process and maximize efficiency. Understanding the value of a comprehensive data strategy is crucial, as data becomes the new currency. Addressing the five V’s of Big Data ensures that your data supports meaningful business outcomes and KPIs. At Tectonic, our team of certified professionals is ready to assist you on this journey. We offer a Salesforce Implementation Solution package to help you get hands-on with the tool and explore its capabilities. Whether you need help understanding your data sources or defining use cases, our data practice can provide the expertise you need. Talk to Tectonic about Data Cloud and discover how our tailored solutions can help you harness the full potential of your data. 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
AI Misconceptions Dispelled

AI Misconceptions Dispelled

The recent launch of GPT-4o (“o” for “omni”) has captivated everyone with its seamless human-computer interaction. Capable of solving math problems, translating languages in real-time, and even answering queries in a human voice with emotions, GPT-4o is a game-changer. Within hours of its debut, shares of Duolingo, the popular language EdTech platform, plummeted by 26% as investors perceived GPT-4o as a potential threat. But what AI Misconceptions Dispelled, would prevent this? Fears about AI are widespread. Many believe it will become so advanced and efficient that employing humans will be too costly, potentially leading to mass unemployment. Over the past year, it has become clear that artificial intelligence (AI) is among the most disruptive forces in business. AI promises efficiency and speed but also raises concerns about bias and ethics. In a candid conversation on Mint’s new video series All About AI, Arundhati Bhattacharya, Chairperson and CEO of Salesforce India, dispels these fears and discusses bridging the generation gap and making Salesforce a Great Place to Work. Forging Unity and Vision “When I came in, there were disparate groups—sales and distribution, technology and products, support and success. Each group had its leaders, but nobody was bringing them together to create one Salesforce vision and ensure that each group developed the Salesforce DNA,” Arundhati reflects on her April 2020 arrival. She underscored Salesforce’s values-driven approach, highlighting the significance of Trust, Customer Success, Innovation, Equality, and Sustainability. Under Arundhati’s leadership, Salesforce India has risen from 36th to 4th on the Great Places to Work list. Navigating AI Skepticism AI advancements are profoundly shaping industries and humanity’s future. According to Frost & Sullivan’s “Global State of AI, 2022” report, 87% of organizations see AI and machine learning as catalysts for revenue growth, operational efficiency, and better customer experiences. A 2023 IBM survey found that 42% of large businesses have integrated AI, with another 40% considering it. Furthermore, 38% of organizations have adopted generative AI, with an additional 42% contemplating its implementation. Despite the excitement around AI, skepticism remains. Arundhati offers insights on addressing this skepticism and using AI to benefit society. She suggests a balanced approach, noting that every significant technological change has sparked similar fears. Arundhati argues that AI won’t necessarily lead to massive unemployment, given humanity’s ability to adapt and evolve. Amidst India’s socio-economic challenges, Arundhati sees AI as a potent tool for positive change. She cites examples like the Prime Minister’s Jan Dhan Yojana, where AI-enabled solutions facilitated broader financial inclusion. “Similarly, AI can greatly improve services in state hospitals where doctors are overworked. AI can gather patient symptoms and present an initial diagnosis, allowing doctors to focus on more critical aspects. The technology is also being used to check sales conversations for accuracy in insurance, ensuring compliance and reducing mis-selling,” she elaborates. Driving Productivity through AI Integration Improving productivity in India is a pressing issue, and AI can effectively bridge this gap. However, the term “AI” is often overused and misunderstood. People need to approach AI initiatives with intentionality and focus. First, determine the use cases for AI, such as improving productivity, gaining customer mindshare, or enhancing customer experience. Once that is clear, ensure your organization is structured to provide the right inputs for AI, which involves having a robust data strategy. Tools like Data Cloud can help by integrating various data sources without copying the data and extracting intelligence from them. Lastly, securing buy-in from employees is crucial for successful AI implementation. Addressing their concerns, communicating the potential risks, and aligning everyone toward the same goal is essential. Securing the Future: Addressing AI Security Concerns As AI technologies advance, concerns about their security and potential misuse also rise. Threat actors can exploit sophisticated AI tools intended for positive purposes to carry out scams and fraud. As businesses rely more on AI, it is vital to recognize and protect against these security risks. These risks include data manipulation, automated malware, and abuse through impersonation and hallucination. To tackle AI security challenges, consider prioritizing cybersecurity measures for AI systems. Salesforce makes substantial investments in cybersecurity daily to stay ahead of potential threats. “We use third-party infrastructure with additional security layers on top. Public cloud infrastructure provides multiple layers of security, much like a compound with perimeter, building, and apartment security,” Arundhati explains. Empowering the Next Generation Workforce and Fostering Innovation Transitioning from her previous role as Chairperson of the State Bank of India to leading Salesforce India, Arundhati acknowledges the generational shift in workforce dynamics. She emphasizes understanding and catering to the evolving needs and aspirations of a younger workforce, focusing on engagement and fulfillment beyond monetary incentives. “Salesforce has a strong giving policy called one by one by one, where we give 1% of our profit, products, and time to the nonprofit sector. This resonates with the younger workforce, making them feel engaged and fulfilled.” Through a dedicated startup program, Salesforce fosters a collaborative ecosystem where startups can leverage resources, tools, and connections to thrive and succeed. Arundhati’s stewardship of Salesforce India epitomizes a transformative leadership approach anchored in values, innovation, and community empowerment. Under her leadership, Salesforce India continues to chart a course toward sustainable growth and inclusive prosperity, poised to redefine the paradigm of corporate success in the digital age. 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
gettectonic.com