Name: Evaluating the Pillars of Responsible AI
Start: 2024-07-23T13:00:00Z
End: 2024-07-23T13:00:27.000Z
Location: BrightTALK
Rating: 4.5

Data is the foundation of any organization and therefore, it is paramount that it is managed and maintained as a valuable resource. 

Subscribe to this channel to learn best practices and emerging trends in a variety of topics including data governance, analysis, quality management, warehousing, business intelligence, ERP, CRM, big data and more.

In a world where AI, automation, and digital systems are advancing faster than most organizations can keep pace, the real differentiator isn’t the technology itself, it’s the culture behind it. Innovation cannot thrive in environments where teams are overwhelmed, siloed, or unclear about how to adapt. In this session, Theo Harvey reveals how leaders can build a foundation for continuous innovation, enabling teams to navigate uncertainty with confidence and creativity.

Drawing from his two decades as a senior engineering leader at Cisco and his current work as CEO & Co-Founder of SynsorMed—a Google-backed digital health company—Theo shares practical frameworks for cultivating accountability, adaptability, and human-centered innovation. Attendees will learn how to shift from reactive problem-solving to proactive idea generation, fostering a culture where creativity is an everyday practice rather than a special event.

Whether your organization is scaling AI adoption, modernizing information systems, or leading large-scale transformation, this session provides actionable strategies for aligning people, processes, and technology. The result: teams that are more engaged, more empowered, and more equipped to turn complexity into opportunity.

Attendees will learn:
- How to build a culture where innovation is habitual, not hierarchical.
- The connection between accountability, adaptability, and creativity.
- Frameworks for driving progress amid uncertainty and rapid technological change.
- How to inspire teams to turn ideas into implementation with speed and clarity.

Innovation Starts With You: Building a Culture of Creativity in the Age of AI

Healthcare organizations are generating more data than ever before, yet meaningful insights remain out of reach due to siloed systems and fragmented infrastructures. In this session, Anita Nayak, Founder and CEO of ClinDCast, explores how interoperability is transforming healthcare analytics from reactive reporting to real-time intelligence. She’ll reveal how breaking down data silos across EHRs, labs, and payer systems can dramatically enhance decision-making, predictive accuracy, and patient outcomes.

Through real-world examples, Anita will share how ClinDCast has helped healthcare networks unify disparate data sources using HL7 FHIR, API orchestration, and master data mapping frameworks. Attendees will gain a practical understanding of how integrated data models reduce manual reporting, strengthen clinical insights, and enable proactive care delivery.

Participants will leave with actionable strategies to:
- Build interoperable data architectures that scale analytics.
- Overcome technical and organizational barriers to data integration.
- Champion a culture of data ethics, integrity, and shared accountability.

Join this session to learn how interoperability is not just a technical goal—but a strategic pathway to better care, smarter operations, and a truly connected healthcare ecosystem.

Bridging Data Silos: How Interoperability is Shaping the Future of Healthcare Analytics

In the world of business analytics, technical accuracy does not equate business impact. Without the trust of leadership, even the most sophisticated analytics models fail to translate data into action. Data managers must recognize the critical gap is not in the data, but in the narrative they present. 

In this session, Google’s Jiaxi Zhu will introduce a four-part, narrative-driven analytics framework for bridging the divide between analytics and real-world business outcomes. 

Through in-depth examples, he will demonstrate how to:
- Design analytics models with action in mind.
- Frame outputs in a decision-ready context. 
- Shape complex insights into coherent, compelling stories that drive action.

From Insights to Impact: Building Narrative-Enabled Analytics to Drive Executive Decision-Making

Organizations are investing more in data than ever, yet many still struggle to translate those assets into clear, actionable insights. In this session, industry thought leader Farid Sheikhi will explore practical strategies to eliminate data chaos, strengthen governance, and build an insights-driven enterprise equipped for 2026 and beyond.

Attendees will learn:
- How to eliminate data chaos by strengthening governance, definitions, and data visibility across the enterprise.
- A practical blueprint for becoming an insights-driven organization, including the maturity stages that matter in 2026.
- How to operationalize analytics and GenAI so insights move beyond dashboards and drive real decision-making.
- Actionable strategies to convert data investments into measurable business impact, including culture, process, and technology enablers.

From Data Chaos to Clarity: Building an Insights-Driven Enterprise in 2026

The customer journey doesn't live in one department. It stretches across marketing, sales, finance, and support — and along the way, manual processes, disconnected tools, and slow handoffs create gaps that frustrate customers and weaken business performance. From invoices that go unpaid, to limited visibility into cash flow, to rising churn, enterprises are feeling the impact of these disconnects in tangible ways that affect the bottom line.

This session cuts through the GenAI hype to focus on practical, safe, and measurable implementation across end-to-end customer process flows. You'll discover methodologies for identifying which problems are worth solving first, how to integrate manual and digital steps into one intelligent workflow, and where human oversight remains essential to prevent costly mistakes. We'll also dig into real-world strategies for managing GenAI's inaccuracies — ensuring invoices are correct, forecasts are reliable, and customer interactions build trust instead of risk.

Join Eugina Jordan, CEO and Co-Founder, YOUnifiedAI, as she reveals proven approaches to GenAI implementation that deliver measurable business outcomes across critical enterprise functions.

- Identify high-ROI opportunities for GenAI implementation across three critical workflows: invoicing, cash flow management, and customer retention
- Implement effective human-in-the-loop protocols that mitigate GenAI hallucinations while maximizing automation benefits
- Design cross-functional workflows that eliminate departmental silos and create seamless customer experiences
- Develop practical metrics to measure GenAI's impact on revenue acceleration, operational efficiency, and customer satisfaction
- Apply a strategic framework for scaling successful GenAI implementations across your organization

Transforming the Customer Journey with GenAI Across the Enterprise

Support teams are at a critical inflection point, with GenAI reshaping customer expectations overnight. While automation promises efficiency, it often creates impersonal experiences that damage loyalty. The most successful organizations are discovering that GenAI's true power lies not in replacing human interactions, but in strategically enhancing them at every touchpoint.

Generative AI offers transformative potential for support experiences, but only when implemented with a human-centered approach. This session defines GenAI specifically within the support context and explores practical applications that benefit both end-users and support agents. You'll discover how intelligent automation can scale operations while simultaneously improving satisfaction metrics across your support ecosystem.

Join Phyllis Drucker (Influencer, EZ2BGR8 Service Management) to explore proven frameworks for implementing GenAI solutions that put people first while driving measurable business outcomes.

Key Takeaways:

- Find the right balance between scaling support operations and maintaining customer satisfaction
- Implement GenAI-powered chatbots that deliver near-human experiences through contextual understanding
- Create customized, tailored responses that increase satisfaction and engagement 
- Establish measurement systems that quantify GenAI's impact and inform future initiatives
Develop a practical roadmap for implementing GenAI in support functions, regardless of your starting point

Human-Centered GenAI Support: Winning Customer Loyalty in the Automation Era

Despite massive investment and executive enthusiasm, most organizations implementing GenAI remain stuck in perpetual pilot purgatory. Behind the headlines and hype, a select group of companies has quietly crossed the chasm from experimentation to enterprise-wide transformation—achieving what their competitors merely discuss in boardrooms. Their secret isn't better technology, but rather a systematic approach to implementation that balances ambition with pragmatism.

GenAI's true power lies in enterprise-wide applications—reimagining customer experiences, supercharging product innovation cycles and transforming operational efficiency across every business function. The question isn't whether to implement GenAI, but how quickly you can transition from experimentation to organization-wide transformation while balancing innovation with responsible governance and ethical considerations.

Join Pankul Chitrav (Application Release Engineer, TD Bank) to discover how your organization can build an actionable GenAI roadmap that delivers immediate business impact while positioning you for sustainable competitive advantage.

Key Takeaways:

- Explore how leading organizations are applying GenAI to create tangible business value across functions
- Learn specific strategies to expedite product development, content creation, and decision-making through GenAI implementation
- Master techniques for streamlining operations while delivering hyper-personalized services at scale
- Gain actionable insights on governance frameworks, ethical considerations, and sustainable GenAI adoption strategies

Unleashing Generative AI: Transform Business Strategy from Concept to Competitive Edge

With AI tools exploding, organizations today are bombarded with new technical tutorials and prompt engineering tactics. But they often become obsolete within weeks. While competitors chase fleeting GenAI techniques, the true competitive advantage lies not in mastering specific tools, but in cultivating something far more fundamental. This presentation reveals the missing catalyst that transforms GenAI from a specialized technology into an organization-wide force multiplier.

The challenge isn't in teaching your teams how to use GenAI—they're already adopting it in their personal lives. It's in creating an environment where innovation flourishes organically across all levels of your organization. Brian Kirsch demonstrates why empowering employees to apply their unique job expertise to GenAI implementation delivers more sustainable results than top-down technical approaches. Learn how to establish the right framework that enables continuous innovation without requiring constant retraining as the technology evolves.

Join Brian Kirsch, IT Instructor and Industry Expert, to discover the one evergreen principle that drives successful GenAI adoption across organizations of all sizes.

Key Takeaways:

- Understand why traditional GenAI implementation approaches fail to deliver lasting competitive advantage
- Learn to empower employees at all levels to become drivers of AI innovation without technical expertise
- Discover a sustainable framework for GenAI adoption that remains effective despite rapid technological changes
- Gain practical strategies for fostering an environment where AI-driven innovation flourishes organically
- See real-world examples of how simple ideas can create profound change across departments

Unlocking the Secret to Sustained Innovation with GenAI

Generative AI is rapidly transforming collaboration by enabling capabilities such as summarization, workflow automation, translation and more. Generative AI offers the potential to fundamentally transform how teams and individuals collaborate and create, eliminating mundane activities and fostering innovation.

In this session, we’ll explore how Generative AI is changing the workplace collaboration landscape, including availability of tools within collaboration applications, third-party tools, and studios enabling custom AI tool creation. We’ll look at organizational strategies and share real-world examples of approaches that achieve measurable success. We’ll also look at security, compliance, and governance concerns to minimize risk.

Key Takeaways:

- Learn how to identify and implement the right Generative AI tools for your team's specific needs, whether that means using built-in features in existing applications, integrating third-party solutions, or building custom tools for unique workflows.
- Understand how to create a foundational strategy for introducing Generative AI into your organization, including understanding which collaborative tasks can be automated to free up time for strategic work.
- Gain knowledge to evaluate and address security, compliance, and governance risks associated with Generative AI, enabling you to implement these tools responsibly and minimize potential liabilities.
- Discover how to measure the success of Generative AI initiatives by measuring before and after improvements resulting from implementation.

Leveraging Generative AI to Improve Collaboration

Storytelling is one of humanity's oldest tools—yet in the corporate world, its power remains largely untapped. Every day, brilliant business ideas die silently, buried beneath technical specifications and corporate jargon. The result? Missed opportunities, disengaged stakeholders, and strategies that never reach their potential. What if you could break this cycle and transform how your ideas are received and implemented?

With GenAI, business leaders can go from dense and technical business language to persuasive narratives that connect and convert. By leveraging AI-powered storytelling techniques, operations leaders, IT professionals and transformation executives can overcome the traditional disconnect between technical teams and business decision-makers, creating alignment that accelerates adoption and drives measurable outcomes. For professionals working in enterprise processes, AI operations, and digital transformation, this capability isn't just nice-to-have—it's essential for ensuring your initiatives receive the right support and resources.

In this session, Inigo Antolin (Head of Data Management and Governance at The British Council) reveals how to harness GenAI to transform your business communication from forgettable presentations into strategic narratives that drive action and results.

Key Takeaways

- How the storytelling gap is undermining enterprise process improvements and technology adoption in data-driven organizations
- Practical frameworks for using GenAI to translate complex technical concepts into compelling business narratives
- Techniques to customize your storytelling approach for different stakeholders across the enterprise
- Ready-to-implement GenAI tools and prompts that enhance communication effectiveness without requiring creative expertise
- Measurable business outcomes achieved by organizations that have mastered GenAI-powered storytelling in process transformation initiatives

GenAI Storytelling: Turning Technical Complexity into Business Impact

Customer retention has never been more important - or challenging. With rising acquisition costs, keeping the customers you already have is paramount, but they're constantly bombarded with competing offers. The key to standing out and fostering loyalty lies in delivering personalized experiences that make them feel valued and understood. Are you truly leveraging your customer data to create these stickier relationships?

The surge of customer data coupled with fragmented digital touchpoints presents a complex challenge. Many companies are overwhelmed - struggling to translate raw data into actionable insights and personalised experiences that resonate with individual customers. Traditional marketing tactics fall short, leading to missed opportunities to build lasting relationships, drive loyalty, and achieve sustainable growth. This is precisely why embracing a connected customer strategy has never been more critical.

Join Anna Samkova, Co-Founder & Strategic Advisor at Albany Advisory, for this session to explore how to unlock exponential growth by turning customer data into personalized experiences with the C.L.I.E.N.T. Growth Framework.

Key Takeaways:

- Implement the C.L.I.E.N.T. Growth Framework to transform raw customer data into a powerful engine for personalization
- Discover proven strategies to activate data in ways that feel personal, purposeful, and commercial
- Gain actionable insights into what truly meaningful personalization looks like in 2025 and beyond – and how to deliver it effectively
- Identify and avoid common personalization pitfalls that can damage customer trust and undermine your ROI
- Understand how to build a connected customer strategy that drives customer lifetime value, loyalty, and sustainable revenue growth

The C.L.I.E.N.T. Growth Framework: Your Roadmap to Personalized CX Success

Sustainability has become a defining element of modern customer experience (CX), shaping how companies build trust, deliver value and foster long-term relationships. Today’s stakeholders expect more than responsiveness and services; they want transparency, environmental accountability and data-driven insights.  

CHEP's transformation from traditional platform provider to data-driven sustainability partner illustrates how organizations can turn environmental commitments into competitive advantages. By embedding circular economy principles into customer touchpoints, companies create dual value: reducing environmental impact while enhancing customer relationships through transparency, efficiency and shared purpose. This approach transforms sustainability from a compliance exercise into a powerful engine for customer loyalty and operational excellence.

Hear from CHEP leaders on how sustainability is reshaping customer experience expectations across industries.

Key Takeaways:

- Insights for embedding sustainability metrics and circular innovation across customer touchpoints 
- How transparent environmental reporting strengthens customer relationships and reduces friction points
- Techniques for leveraging digital systems to enable circular business models and quantify sustainability impact
- Methods for integrating self-service platforms with predictive analytics to deliver more sustainable, responsive service

Accelerate Loyalty Through Circular Innovation in Today's Sustainability Market

Customer conversations contain strategic revelations that most executives never hear, yet these unfiltered moments often predict market shifts before formal data ever could. Although 84% of CX leaders advocate for bringing these insights to the executive table, many organizations still treat customer interactions as operational noise rather than the strategic signal they actually represent. 

Although 48% of companies now employ interaction analytics, many struggle to effectively distribute these insights beyond the contact center. Additional advantages come fromsystematically analyzing customer interactions to inform product development, marketing strategies, and executive decisions; creating a unified approach to customer experience that drives measurable business outcomes and strengthens customer loyalty across the entire journey. 

Join Robin Gareiss, CEO of Metrigy, as she shares research-backed strategies that transform conversation data into business value. 

Key Takeaways: 

- Discover which conversation metrics deliver the most substantial business intelligence and how to capture them effectively 
- Learn practical frameworks for distributing interaction insights across departments to create organization-wide customer-centricity 
- Understand how to quantify the ROI of conversation intelligence through improved business metrics and enhanced customer satisfaction 
- Gain actionable implementation strategies that work regardless of your current analytics maturity

Conversation Intelligence: The Hidden Gems that Impact all Business Decisions

Your customer just spent 15 minutes navigating your support portal only to end up exactly where they didn't want to be: on hold with your call center. This all-too-common scenario reveals the main flaw in how organizations approach digital self-service: designing for scale rather than CX success. 

Unfortunately, customer portals are often designed primarily to eliminate contact via more costly resources. When designed solely to scale support, they fail to meet the CX mark. The best portals humanize the digital experience by understanding the customer's journey and anticipating needs before frustration sets in.

This session examines the critical need to balance operational efficiency with customer-centered design principles that transform portals from necessary evils into preferred channels.

Join Phllis Drucker (Influencer, EZ2BGR8 Service Management) to explore how to achieve great CX results through innovative portal design that puts customers first while still delivering operational benefits.

Key Takeaways:

- Identify common pitfalls that typical portals fall into and how to avoid them
- Apply customer journey mapping techniques to create intuitive, emotionally intelligent digital experiences
- Implement a practical roadmap for designing and innovating a new portal experience
- Measure the true ROI of your portal beyond call deflection metrics
- Balance automation with human touchpoints to create meaningful digital interactions

Humanizing Digital Portals: Transform Self-Service in the Age of CX Expectations

The AI implementation paradox haunts contact centers everywhere. With sophisticated technologies being deployed and substantial investments made, the promised revolution in efficiency and experience remains frustratingly slow. This disconnect between expectation and reality has left many CX leaders questioning whether their AI strategy has missed the mark.

 

The challenge lies not in the technology itself, but in how it's implemented and aligned with broader business objectives. As contact centers evolve into multi-channel customer engagement hubs, simply layering AI onto existing processes isn't enough. Success requires thoughtful integration that considers both customer and employee perspectives, proper design principles and strategic alignment with business goals.

 

Join Catriona Howell, CX Consultant, for an insightful case study exploration that reveals how to bridge the gap between AI implementation and meaningful business outcomes in the modern contact center.

 

Key Takeaways:

 

Identify common pitfalls that prevent AI and automation from delivering expected results in contact center environments
Discover practical strategies for aligning technology implementation with both customer and employee experience goals
Learn how to design AI solutions that enhance rather than hinder the human elements of customer service
Understand how properly implemented contact center AI can generate broader business value through customer insights and engagement

Beyond Automation: Unlocking Real Value from AI in the Contact Center

The AI implementation paradox haunts contact centers everywhere. With sophisticated technologies being deployed and substantial investments made, the promised revolution in efficiency and experience remains frustratingly slow. This disconnect between expectation and reality has left many CX leaders questioning whether their AI strategy has missed the mark.

The challenge lies not in the technology itself, but in how it's implemented and aligned with broader business objectives. As contact centers evolve into multi-channel customer engagement hubs, simply layering AI onto existing processes isn't enough. Success requires thoughtful integration that considers both customer and employee perspectives, proper design principles and strategic alignment with business goals.

Join Catriona Howell, CX Consultant, for an insightful case study exploration that reveals how to bridge the gap between AI implementation and meaningful business outcomes in the modern contact center.

Key Takeaways:

- Identify common pitfalls that prevent AI and automation from delivering expected results in contact center environments
- Discover practical strategies for aligning technology implementation with both customer and employee experience goals
- Learn how to design AI solutions that enhance rather than hinder the human elements of customer service
- Understand how properly implemented contact center AI can generate broader business value through customer insights and engagement

Beyond Automation: Unlocking Real Value from AI in the Contact Centre

Small and medium enterprises are drowning in data while starving for insights. With unstructured data projected to represent up to 90% of all enterprise data by late 2025, and only 35% of SMEs leveraging cloud-based analytics, there's an enormous untapped potential for competitive advantage. In today's AI-driven landscape, the ability to transform raw data into actionable intelligence isn't just beneficial—it's essential for survival and growth.

While large enterprises deploy specialized teams and substantial budgets to tackle data challenges, SMEs face unique obstacles in extracting value from their information assets. Without proper frameworks for data cleansing, integration, and governance, organizations risk making critical decisions based on flawed insights. This session delivers practical, cost-effective strategies specifically designed for businesses without enterprise-scale resources, helping you navigate regional compliance variations and integrate data across disparate systems to drive measurable ROI.

Join Eugina Jordan (CEO and Co-founder of YOUnifiedAI) to explore proven methods for converting data chaos into strategic advantage.

Key Takeaways:
- Practical frameworks for effectively managing both structured and unstructured data sources
- Step-by-step methods for ensuring data quality and integrity across your organization
- Integration strategies that bridge legacy systems with modern platforms without breaking the budget
- Governance approaches that address regional compliance variations while maintaining data accessibility
- Real-world examples of SMEs that have successfully converted disparate data into revenue-driving insights

From Data Chaos to ROI: Practical Frameworks for SMEs

The way employees communicate and collaborate is constantly evolving, and so too are the security threats they face. The rise of generative AI adds a new layer of complexity, requiring CISOs to proactively address the risks of data loss and potential harm to the organization.

Traditional security approaches often fall short in addressing the unique challenges posed by modern collaboration tools and the integration of GenAI. Understanding and mitigating these risks is critical for maintaining data privacy, preventing leakage, and ensuring compliance. We'll share Metrigy's latest research data to reveal actionable strategies for a comprehensive, business-aligned security strategy.

Join Irwin Lazar (President and Principal Analyst at Metrigy)  to discover the key components of a modern security approach, including how to: 

- Establish alignment between IT, collaboration, and security teams to address evolving threats.
- Identify emerging threats stemming from new applications and out-of-band communications.
- Understand how generative AI creates new risks for data privacy, leakage, and effective data management.
- Develop a comprehensive security strategy tailored for collaborative environments and the GenAI landscape.
- Evaluate the benefits of third-party platforms optimized for collaboration and GenAI security to enhance your security posture.

Secure Collaboration in the Age of GenAI: A CISO's Guide to Risk Mitigation

It’s been over a year since GenAI hit the market, and Gartner has estimated that only 10% of generative AI solutions have made it to production. Such roadblocks range from difficulty testing to poor observability, to knowing which LLM is the best to use to the development and management process presenting new challenges for time-crunched data science teams. 

Join VP of Field CTOs Lisa Aguilar, and Jess Lin Lead GenAI Data Scientist, as they explore the two biggest decisions facing aspiring AI teams: how to choose the right LLM and how to compare and optimize GenAI performance. She’ll share:

-How to evaluate commercial versus open-source models
-How to balance cost, performance, and risk management factors
-How to benchmark your GenAI experiments against performance and quality metrics
-How to build effective (and sustainable) intervention and moderation strategies
 
Attendees will also see the real-world impact of AI with a behind-the-scenes look at digital consultancy for sustainable growth BSI and how they reduced model development time by 67%.

Choosing the Right LLM and Optimizing GenAI Performance

Join hosts Kevin Oliviera and Todd Bursch in Get Visibility and Control of Data a presentation on safeguarding generative AI transformation by ensuring visibility and control of data to prevent data leaks and breaches. As the benefits of AI become more undeniable, AI-based productivity gains face challenges in the form of risks to data privacy. Attendees learn to prevent risks before they occur with mindful AI transformation and the proper tools for the job such as AI Mesh. 

Forcepoint’s Senior Product Marketing Manager, Kevin Oliveira and Global Solutions Architect, Todd Bursch explore: 

• Security solution Data Security Posture Management with AI Mesh and how it revolutionizes data Visibility and Control
• Review of data sources and connectors, including SharePoint, Azure and Google services
• Use of content detectors and compliance templates
• Pre-built and custom dashboards, including for: GenAI; ransomware exposure;
• Redundant, Outdated and Trivial (ROT) data; and high-risk users
• A description of how DSPM with AI Mesh provides proactive security for GenAI applications

Discover how to support and security for AI transformation supports proactive protection for companies to take control of their own policies and compliance without administering a ‘one-size-fits-all' method.

Get Visibility and Control of Data

CISOs face a myriad of challenges, including the impact of generative AI (GenAI). Join our webinar for an in-depth exploration of the pivotal intersection of cybersecurity and GenAI. As technology rapidly evolves, organizations worldwide confront escalating security threats, emphasizing the critical need for proactive cybersecurity measures. Explore strategies for strengthening cybersecurity programs in today’s dynamic landscape.

In this webinar you will gain insight into:

• Understanding GenAI Threats: Delve into deepfake technology risks and impacts on security and trust, exploring how it challenges organizational defenses.
• Defense Strategies: Master advanced techniques for detecting and mitigating deepfake threats, leveraging AI-driven anomaly detection and robust authentication methods.
• Practical AI Applications: Harness AI defensively and offensively to strengthen cybersecurity resilience and proactively counter emerging threats.

In this webinar, you will gain a deep understanding of the evolving threats posed by Generative AI, along with innovative strategies to strengthen your organization’s cybersecurity defenses. Don’t miss this chance to acquire practical knowledge and actionable insights that can safeguard your organization against emerging AI-driven threats. Join us to stay ahead in the dynamic landscape of cybersecurity.

Understanding Generative AI's Impact on Cybersecurity: Insights for CISOs

Enterprise Strategy Group Principal Analyst, Networking, Jim Frey, Presents: 

The scope of Generative’s AI impact is immense, touching every part of IT – even networking. GenAI and automation are fast becoming essential for infrastructure teams to build and operate the agile networks needed to meet the complex, hybrid connectivity needs of AI-enabled business. This session will reveal the ways in which GenAI and other forms of AI and automation are being applied across the networking lifecycle, highlighting where true progress is being made and where promises are still ahead of reality.

The Progress of GenAI in the Networking Lifecycle

Want to get started with Generative AI to build a chatbot that can answer questions based on your company’s data and documents but not sure where to start? This session is for you.

Patrick Masi-Phelps, Principal Sales Engineer at Dataiku, and Carsten Weidmann, Senior Partner Sales Engineer at Snowflake, will walk you through how to use retrieval augmented generation (RAG) to create a chatbot.

To explore more about Dataiku, check out the rest of our content:

CHECK OUT DATAIKU: https://bit.ly/36XBlpK
AI&Us: https://www.dataiku.com/stories/ai-and-us/
ROAI: https://www.dataiku.com/return-on-ai/ 

Linkedin: https://bit.ly/3lXyRMb
Twitter: @dataiku
Instagram: @dataiku

Build a Generative AI Chatbot With Dataiku and Snowflake

GenerativeAI is the mandate of the day - but what are its applications ‘beyond the hypewave’? How should enterprise and large-scale content aggregators and producers refactor their workflows to not just cope with the avalanche of raw data and content throughout their organization - but integrate new AI/ML workflows efficiently and thoughtfully to turn raw data and content into a valuable resource?

In this session, we’ll highlight uses of GenAI in various fields, discuss why almost every operation and enterprise can learn from the leading continuous content producers, then discuss what’s beyond ‘naive’ GenAI in the field of using AI/ML to draw out insights and meaning from raw rich media content, and even teach your AI highly specialized recognition tasks that can dramatically boost your organization’s productivity and efficiency.

'Workflow Thinking’ for GenAI and Rich Media Enhancement

Business in 2024 calls for a shift in the ITSM landscape, with the mainstream role of Artificial Intelligence (AI) in transforming workplaces. AI and its cutting-edge fact, generative AI bring to the forefront the importance of enhancing employee experiences, and ways to achieve it. It is also important for IT leaders to choose the right AI tools to avoid unnecessary tech spends while balancing organizational efficiency and productivity.

Join us for an in-depth discussion on the promise AI holds in ITSM, especially in transforming employee experiences, its challenges and how Freshworks is at the forefront of this AI revolution.

Here’s what you can expect to learn::

● The power of AI in enhancing employee experiences
● Facets of AI, with a special focus on generative AI
● Challenges in implementing generative AI
● Freshworks at the forefront of the AI revolution and its role in enhancing employee experiences through Freshservice and Freddy AI
● Best practices in implementing generative AI

Leveraging AI in the Evolving and Transformative ITSM Landscape

Predictive insights are the lifeblood of today’s business. Imagine that your product team is coming up with new features, your operations team is investigating supply chain issues, and your marketing team is developing 360-degree profiles of customers. What do these scenarios have in common? For a modern business operating in today’s dynamic environment, all three are powered by predictive analytics.

Increasingly, artificial intelligence and machine learning technology (AI/ML) is enabling high-value predictions that lay the groundwork for better decision-making. Advanced analytics, including generative AI, hold the power to sharpen your company’s competitive edge, drive operational efficiencies, and maximize growth.  

With generative AI, data scientists can more easily make sense of ever-growing datasets. They can automate tedious tasks like filtering and parsing huge volumes of data to quickly extract meaningful information.  

Join us to learn how leaders are overcoming the common pitfalls around AI workflows, how Teradata and Amazon Web Services (AWS) are penetrating barriers to predictive analytics, and how data scientists can scale analytics leveraging an integrated AI toolset.

Unleash AI Innovation Across the Enterprise with Teradata and AWS

Artificial Intelligence (AI) holds tremendous potential for innovation, but without high-quality data, AI is just... artificial. This webinar explores current AI trends, their impact on data security, and how to protect sensitive information in an AI-driven world. We will discuss the critical importance of discovering, monitoring, and safeguarding data to leverage AI effectively, including the growing use of AI copilots in the workplace.

Learn how today’s leading organizations secure their data and ensure the safe use of AI, enabling CISOs and CDOs to confidently support new AI-driven initiatives. Attend to learn about the:
- Risks of over-privileged data access for AI copilots and data access
- Security implications of feeding data into Large Language Models (LLMs)
- Dynamic discovery and protection of data for the safe use of AI

From Artificial to Intelligent: Securing Data for AI

How can AI change a Security Analyst's workflow? Ashish, CISO & Host of AI CyberSecurity Podcast, and Caleb Sima, Chair of CSA AI Security Alliance & Co-Host of AI Cybersecurity Podcast, catch up with Ely Kahn, VP of Product at SentinelOne, to discuss the revolutionary impact of generative AI on cybersecurity. Ely will speak about the challenges and solutions in integrating AI into cybersecurity operations, highlighting how to simplify complex processes and empower junior to mid-tier analysts.

How AI Can Be Used in Cybersecurity Operations

Enterprise Strategy Group Principal Analyst Dave Gruber Presents: 

Security professionals claim that increasing security operations difficulty is driven by the sophisticated and evolving threat landscape, a growing attack surface, and a rising volume of security alerts. Trained large language models (LLMs) and generative AI have the potential to help cybersecurity teams analyze and prioritize decisions in each of these areas, mitigating cyber-risk. Uncover how organizations are using AI technologies today and whether these technologies have met expectations.

Securing GenAI Within Your Organization, While Gaining Leverage Using It

With the ever-changing landscape of emerging technologies and rising employee expectations, how do you balance continuously elevating service experiences with optimizing costs and future-proofing?

As IT teams across the globe are tasked with the challenge of doing more with less, GenAI has emerged as the undeniable force multiplier --- but not without its share of skepticism and concerns. Join Freshworks to delve deeper into GenAI’s potential, misconceptions, and the strategic vision required to build higher-performing teams.

Evolve IT Services with GenAI for Exceptional Employee Experiences

GenAI is revolutionizing industries by creating innovative solutions that transform how we interact with technology. However, as with any powerful tool, GenAI introduces unique risks and vulnerabilities that need robust security measures.

Join us for an insightful webinar where John Tierney, Field CTO at Legit Security, will delve into the intricacies of securing Generative AI. This session will provide critical insights into the market importance of GenAI, practical use cases, inherent risks, and strategies to safeguard your AI initiatives.

Securing Generative AI & Preventing Vulnerabilities with Legit Security

The current IT and service operations landscape is desperate for change: High-touch integrations have plagued traditional event-management with varied results. Systems are rigidly rules-based, difficult, and expensive to maintain. ITOps & incident management teams are burnt out. Adoption of new, innovative tech is daunting, if not impossible. 

Generative AI is not a silver bullet, but it can alleviate these challenges when deployed with the right technology that delivers context for a clear view of every incident and a clear framework that breaks down silos between teams, tools, and workflows.

Join BigPanda as they discuss:

- Benefits of full-context operations for both ITOps and incident management teams
- How AI delivers incident context to drive business outcomes
- A practical approach to getting started with AI-powered tools

AIOps 101: Using Gen AI to Deliver Context & Remediate Faster

Enterprise Strategy Group Senior Analyst, Data Protection, Ops & Sustainability, Jon Brown Presents: 

Generative AI is rapidly transforming technology and business strategies. According to recent Enterprise Strategy Group research, 85% of organizations are actively using, planning to use, or considering generative AI across many of their functional areas, including IT operations. This session will explore current use cases for generative AI in IT operations, how AI is impacting the selection and use of IT operations tools, customer sentiment about desired outcomes and expected challenges related to AI adoption, key stakeholders influencing purchasing decisions, functional requirements, business and technology drivers, tool consolidation plans, and more.

The Impact of GenAI in IT Operations

GenAI is the gamechanger that can transform work across your organisation, but AI is only as powerful as the platform it’s built on. 

When you marry GenAI capabilities with a powerful workflow automation platform, every employee in your organisation is empowered to do more, do it faster and create what they couldn't before. Working smarter has never been easier.

Join our team of experts to discover what ServiceNow’s Now Assist with GenAI can do for your employees, customers, agents, and developers. Learn how GenAI

• can gather the full body of case information that IT agents and operators need to promptly resolve IT issues. 
• can automate and expedite building tasks for developers and empower citizen developers to do more than they can imagine. 

Increase productivity, transform experiences, and accelerate agility on the Now Platform. 

Featured speakers: 
• Peter Doherty – Sales Director, Sales Operations, ServiceNow
• Doug Alcock – Senior Solution Sales Executive, Creator Workflows, ServiceNow
• Sylvain Hauser – Solution Consultant, Creator Workflows, ServiceNow


Resources:

Unlocking strategic business advantages with Generative AI
https://www.servicenow.com/now-platform/generative-ai.html

Put AI to work with Now Assist

Enterprise Strategy Group: GenAI Summit​

Enterprise Strategy Group Principal Analyst, Data Analytics & AI, Mike Leone Presents: 

The meteoric rise of generative AI has sparked a surge of AI challenges that organizations must overcome to ensure greater levels of trust in the underlying technology and its outputs. Recent Enterprise Strategy Research highlights that while 78% of people are using generative AI for personal use like boosting productivity or improving efficiency, just 36% of organizations have policies in place to limit usage. The lack of organizational action to minimize issues like potential biases, legal liability, unknowingly sharing intellectual property, and more is leading organizations down a path of potential disaster. Uncover the potential shortcomings and challenges organizations face, as well as issues already encountered due to a lack of action being taken by business teams.

Evaluating the Pillars of Responsible AI

Generative AI

Business Analytics

AIOps

Artificial Intelligence

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Enterprise Applications

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Big Data and Data Management

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Evaluating the Pillars of Responsible AI

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Business Intelligence and Analytics