The Future of Patient Care: AI-First Approaches with Salesforce Agentforce
In this episode of the Targeting AI podcast from AI Business, hosts Esther Shittu and Shaun Sutner discuss the role of AI in healthcare with Madhav Thattai of Salesforce and John Oberg of Precina Health. They explore the concept of being AI-first, the integration of AI in patient care, and the impact of agentic systems on healthcare outcomes. The conversation highlights how AI can enhance clinical practices, improve patient interactions, and streamline business processes, ultimately leading to better health outcomes and operational efficiency. In this episode, the conversation revolves around the transformative role of AI in healthcare, particularly focusing on patient experience, the integration of Salesforce Health Cloud, and the balance between AI automation and human clinical judgment. The speakers discuss the supportive role of AI in clinical decisions, innovative applications in mental health, and the importance of trust and ROI in AI deployments. They emphasize the need for clear KPIs and the potential for AI to unlock efficiencies in healthcare delivery.
Featuring: Madhav Thattai, SVP & COO of Agentforce product management at Salesforce, and John Oberg, founder and CEO of Precina Health
In this episode, we cover how:
AI is used extensively in healthcare to enhance patient-provider interactions.
Being AI-first can lead to improved clinical and financial outcomes.
Salesforce's agentic technology is being used for customer support and marketing.
AI can automate routine tasks, allowing healthcare providers to focus on patient care.
The integration of AI in diabetes management has shown significant success.
AI can personalize patient care through meal planning and recipe suggestions.
The future of healthcare involves a collaborative approach between technology and human providers. AI is not the focus; it's a catalyst for patient experience.
AI supports clinicians without replacing their judgment.
To learn more about agentic AI and generative AI, check out AI Business.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
Salesforce Agentforce
Applications for AI in healthcare
AI and type 2 diabetes risk
--------
36:00
--------
36:00
Salesforce advances its agentic AI platform with Agentforce 360
In this breaking news analysis episode of the Targeting AI podcast from Informa TechTarget's AI Business, hosts Esther Shittu and Shaun Sutner discuss the latest innovations in agentic AI technology unveiled at Salesforce's Dreamforce conference in October with guest Madhav Thattai of CRM and CX giant Salesforce. The conversation covers the new Agentforce 360 platform, including hybrid reasoning, enhanced control and context for agents, and the importance of the user experience and data privacy. Thattai emphasizes the need for a balance between creativity and control in enterprise AI applications.
Featuring: Madhav Thattai, SVP and COO of Agentforce product management at Salesforce
In today's episode, we cover how:
Hybrid reasoning combines LLMs with structured processes.
Control and context are essential for agent functionality.
UX features are being enhanced for agents.
Data privacy is important to Salesforce.
AI agents must respect user permissions and access.
Salesforce aims to democratize agent development.
Context indexing improves agent accuracy.
To learn more about agentic AI, generative AI and Salesforce, check out AI Business.
To watch videos of our podcasts, subscribe to our YouTube channel, @EyeonTech.
--------
10:44
--------
10:44
UiPath moves from RPA to agentic AI
In this podcast, Mark Geene of robotic process automation (RPA) vendor UiPath discusses the evolution of RPA and the emergence of agentic AI. He explains how these technologies are transforming business processes, the importance of governance and compliance, and the future of work with digital workers. Geene also highlights the role of data in enabling effective AI agents and shares insights on the competitive landscape of RPA vendors. The discussion concludes with predictions about the future of AI in business.
In the episode, we cover how:
RPA automates repetitive tasks and is limited to deterministic workflows
Agentic AI combines deterministic and ad hoc processes for greater flexibility
Governance and compliance are critical for successful automation
Orchestration allows for effective collaboration between agents, robots, and humans
Data is essential for providing context to AI agents
Narrowly scoped agents can operate with more autonomy
The future of work will see agents supervising business processes
Featuring: Mark Greene, senior vice president and general manager of AI products and platform at UiPath
To learn more about agentic AI, RPA and generative AI, check out AI Business from Informa TechTarget.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
UiPath AI agents blend with RPA amid industry hype, doubts
Governance Is Top Priority for Companies Using Agentic AI: Survey
Startup aims to upend old-school RPA with large action model | TechTarget
--------
29:51
--------
29:51
CoreWeave signs $14.2 billion deal with Meta Platforms
In this special breaking news analysis edition of the Targeting AI podcast from AI Business, hosts Shaun Sutner and Esther Shittu dive into the latest developments in the AI industry with Torsten Volk, an analyst with Omdia. Both AI Business and Omdia are owned by Informa TechTarget. This episode covers AI cloud computing vendor CoreWeave's groundbreaking $14 billion AI compute deal with Meta Platforms, exploring its implications for enterprise AI and the future of data center services. Join us as we unravel the complexities of AI infrastructure, the race for GPU power, and the strategic moves shaping the tech landscape. Don't miss this discussion on the forces driving innovation and competition in AI.
Takeaways:
CoreWeave's partnership with Meta underscores the growing need for specialized AI infrastructure.
Efficient GPU utilization is crucial for AI companies to maintain competitiveness.
The AI sector is rapidly evolving, with significant investments in infrastructure and talent.
Meta's strategy involves collaborating with various vendors to enhance its AI capabilities.
The deal may signal the emergence of a new sector within the AI industry, focusing on data center services.
--------
6:30
--------
6:30
Capital One takes on GenAI in a big way
As one of the biggest financial institutions in the U.S., Capital One isn’t running away from generative AI and agentic AI. Instead, the $490 billion company is using the technology to enhance both internal operations and customer experience. In this Targeting AI episode, the chief scientist and executive vice president at Capital One discusses some of the challenges and opportunities the financial giant is facing in customizing LLMs, and how the company continues to prioritize risk management and safety.
Featuring: Prem Natarajan, executive vice president, head of enterprise AI and chief scientist, Capital One
In today's episode, we cover:
Capital One's enterprise AI strategy is focused on creating customizable platforms using open source or open weight models
Capital One uses its proprietary data to customize AI models
The company uses GenAI and agentic AI for internal operations, such as with agent assist tools for customer service and customer-facing experiences like chat concierge
The enterprise has a focus on long-term transformation and not short-term ROI
To learn more about AI, open source and agentic AI, check out AI Business and SearchEnterpriseAI from Informa TechTarget.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
Capital One AI partnerships aim to build trust and grow talent
Compare proprietary vs. open source for enterprise AI
The importance and limitations of open source AI models
Hosts Shaun Sutner, TechTarget News senior news director, and AI news writer Esther Ajao interview AI experts from the tech vendor, analyst and consultant community, academia and the arts as well as AI technology users from enterprises and advocates for data privacy and responsible use of AI. Topics are related to news events in the AI world but the episodes are intended to have a longer, more ”evergreen” run and they are in-depth and somewhat long form, aiming for 45 minutes to an hour in duration. The podcast will occasionally host guests from inside TechTarget and its Enterprise Strategy Group and Xtelligent divisions as well and also include some news-oriented episodes featuring Sutner and Ajao reviewing the news.
Netherlands