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53

Investing Big in GenAI Today: The Key to Unlocking Massive Long-term Returns

The history around monetizing new technologies is what makes the rise of generative AI (GenAI) over the past 18 months so notable. In such a short period of time, we have tangible evidence from some of the largest IT vendors that billions of dollars in revenue have already been generated in the space, with the expectation that even more opportunity will develop in the coming years.

54

Edge Computing’s Role in Tackling Latency, Privacy and Resiliency Challenges

Cloud adoption is on the rise, but for many customers, particularly those deploying workloads across multiple clouds, latency, data flow, privacy and overall business resiliency remain core challenges. Edge computing is an emerging segment in IT, giving customers a way to supplement their cloud and IT core investments by processing data locally for minimum latency and backing it up to an adjacent environment for use cases like analytics and application development.

57

Implementing a Comprehensive Strategy: Infosys Enhances Talent Development, Sales Efficiency and Profitability

Infosys Cobalt, Infosys Topaz and now Infosys Aster will continue to act both as the backbone of IT services modernization and as access points to generative AI (GenAI)-related opportunities. With many of its peers are pursuing similar strategies and poaching key Infosys executives to emulate success, the company needs to remain vigilant and maintain transparent communication with stakeholders to avoid client and talent confusion and secure its long-term success.

58

GenAI Disruption: Rewriting the Business Models of Tech Titans and Consultancies

As the efficiencies of automation, analytics and AI begin benefiting technology companies themselves, not just their enterprise clients, TBR sees the latter half of 2024 as fundamentally business model disruptive for pretty much every technology company we cover, from McKinsey & Co. to Infosys to Dell Technologies to Amazon Web Services to IBM to Ericsson to NVIDIA.

59

Adapting to Market Needs: How Consultancies are Investing in Talent and Partner Ecosystems

While macroeconomic uncertainty remains across markets, the consultancies look to develop core services such as around AI, partnerships and networks of physical centers to strengthen client engagements and continue advisory discussions. Increasing technology complexity, operational cost-driven optimizations and data strategies will draw on consultancies’ core experience to successfully drive digital transformation programs.

60

How AI Is Revolutionizing Cost Efficiency and Customer Experience in Telecom

TBR’s latest telecom research indicates customer care, which includes contact centers, will be profoundly transformed by AI. Though traditional AI has been utilized in customer care for many years (e.g., chatbots and interactive voice response), GenAI will take customer care to an advanced state. TBR estimates that GenAI could reduce the costs of running contact centers by up to 80%, and this is an area telecom operators are keenly interested in as they remain focused on cutting expenses across their businesses.