AI’s Transformation of the Relationship between Technology and Business

The PC, the internet, outsourcing, and the cloud have all progressively contributed to how the business uses technology and how it works with the business.  But nothing can prepare technology users for the transformation that is starting to build around the business’s accelerating use of AI. A combination of open-source tools, access to data, and changing skill sets amongst business executives provide an environment for business leaders and their staff to bypass tech for technology-driven business solutions. CXOs and their organizations must rapidly develop a transformation plan to support the business, or else technology will be left behind in the “AI everywhere” world.

1:1s - 10:25 - 10:45 and 10:55 - 11:15

The Promises and Limitations of AI Transformation: Examples from the Cybersecurity Realm

The hype surrounding AI -- especially generative AI -- has made it easy to assume that if we make AI good enough, there is virtually no challenge it can't solve. The reality, though, is that while AI offers great opportunities for moving the needle, the extent to which it can transform the enterprise is ultimately limited. To illustrate this point, this presentation examines the impact of AI on the cybersecurity market to offer examples of what AI can do that is radically new, as well as which tasks AI is unlikely ever to conquer.

Partnering for Success: Optimizing Infrastructure for the GenAI Era

In today's dynamic market, technology sits at the forefront as customers digitally transform their businesses through optimized data models and workloads. This session explores the pivotal role played by technology in unlocking value for organizations as they securely optimize workloads across edge, core, and hybrid cloud environments. From tailoring infrastructure strategies to seamless deployment, and from managing services for peak performance to addressing security, compliance, and up-skilling needs, technology is more critical than ever to customer success. Join Matt as he explores transformational opportunities and gain insights on navigating the ever-evolving infrastructure optimization landscape being enabled by new data models and new generative AI based applications."

GenAI for Competitive Advantage: Build versus Buy

This topic explores the strategic decision-making process regarding the use of generative artificial intelligence (GenAI) for gaining a competitive advantage. It delves into the considerations of whether to build capabilities in-house or to acquire them externally. Analyzing the advantages and challenges associated with both options, the discussion revolves around optimizing the balance between developing proprietary AI solutions and leveraging existing ones to enhance competitiveness in the evolving business landscape.

Charting your GenAI Use Case Journey: Key Functional and Application Areas to Prioritize

Generative AI is exploding, but without business use cases to learn and understand the application and value of it, organizations don’t understand why it is critical to incorporate GenAI into their business processes.  This session will showcase GenAI use cases in some of the key functional/application areas such as customer service and support, finance, and human resources.  The GenAI uses cases will also bring forward the value of speed, scale, agility and results achieved from the incorporation of GenAI into the business.  

Generative AI, Predictive AI & the CISO

Combinations of artificial intelligence (AI) and machine learning (ML) have influenced the cybersecurity landscape for the better of 15 years. What computers have always been able to do is make correlations to the bytes, files, hashes, and code that comprise a network. However, for all of the improvements in computing and years of refining algorithms, so much of operating the network and the cybersecurity software that protects the network are still manually intensive processes.

After all of this time, recent developments in generative AI are seemingly addressing the cybersecurity manpower gap. IDC calls it "autonomizing the SOC." The process of realizing a fully autonomous SOC involves several intermediary steps, but the new efficiencies in evidence are:
• The availability of enriched data at the time of the incident investigation
• The ability to generate an instantaneous response based on the type of attack is increasingly automated
• The implementation of analytics to discover unmanaged devices in the network
• The development of natural language processing (NLP) that enables threat hunting and security querying at the speed of speech

AI is improving SOC processes and empowering security analysts; the power comes at a critical time as organizations struggle with hybrid, multicloud complexity and a chronic workforce shortage. However, the hard work is not about the AI at all, but creating and enabling the security data foundations that will allow AI to create outcomes. Regardless, the cause for overall optimism is real.  This session will provide an overview AI in security and discuss the reasons for the real optimism.
 

AI and Gen AI Use Cases – A Case Study from an innovative High-Tech Manufacturer

In this session, we will discuss both horizontal and vertical specific use cases that we have developed for both AI and Gen AI both for Lexmark’s internal use and in collaboration with strategic customers and the impact that these are having along with lessons learnt.

Why Security Fundamentals Are Still Critical 

1:1s - 1:20 - 1:40 and 1:50 - 2:10

AI Everywhere: The C-Suite Perspective

Part of the seminal shift of the technology industry towards AI Everywhere is being driven by the ‘business-first’ adoption of Generative AI technologies. Given the accessible nature of the technology, C-Suite leaders are able to quickly understand the potential to drive concrete business outcomes for their respective functions. This session will draw on IDC’s latest C-Suite Tech Agenda survey of close to 1000 business and technology leaders across the world to understand the impact of Generative AI on their businesses. It will provide an overview of priority investment areas for the C-Suite, how GenAI will affect the role of technology leaders, emerging best practices on AI governance, as well as feedback on what the C-Suite is expecting from prospective technology partners with recommendations in terms of how to drive the vendor engagement model for customers. 

The Future of AI and Strategy: Scenario Planning for the Future of Work 2035