... for a narrow set of common legal workflows should not disrupt GC investment in legal-specific AI applications, including Westlaw’s CoCounsel, LexisNexis’s Lexis+ AI, Harvey, Legora and others. These applications are grounded in primary law and offer superior security controls and support for complex legal ...
Analyst(s): Ron Friedmann | Chris Audet
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... Sovereign AI is shifting from data residency to control of compute capacity, creating geopolitical and infrastructure risks for enterprises. Heads of I&O must plan sovereign cloud and AI factory strategies to secure GPUs, power and networking while managing cost and compliance. Insights at a Glance ...
... keen on leveraging generative AI as part of their product/service discovery and validation must: Map where, how and when the four new GenAI-based approaches can be leveraged in your product portfolio and roadmaps Decide whether to embed GenAI (API services from foundation models) in your core product, ...
... Enterprise architecture tools are awash with AI features after considerable vendor investment in improving architect productivity and user experience. Heads of EA should examine the top five emerging AI capabilities, their popular use cases, known challenges, and key questions for vendor evaluation. ...
... client? Heads of I&O must shift from simple AI assistance to governed autonomy, preventing poor agent outcomes and cascading service disruptions. Build robust runtime guardrails, prospective governance, and a restructured IT operating model to scale agentic AI. Why This Matters Blind Spots What’s Around ...
Analyst(s): Nathan Hill | Joe Antelmi | Michael Wodka
... 8 Metrics Every Customer Service and Support Leader Should Care About Discover the customer service metrics that matter most for driving customer loyalty, improving experiences and reducing cost to serve. As customer expectations evolve and organizations increasingly look to service teams to balance ...
... As the popularity of knowledge graphs grows, their implementation complexity underscores the need to evaluate whether they are the right solution for the organization’s use case. Data and analytics technical professionals should use this framework to evaluate the applicability of knowledge graphs. Ov ...
... Organizations launching self-service analytics and business intelligence programs struggle to balance agility and control. Data and analytics technical professionals can use this guidance framework to build a governed self-service analytics capability that enables and supports end users. Overview Prob ...
... Self-service analytics initiatives often fail to deliver on their full potential due to challenges with governance, trust, scalability and adoption. This guidance framework helps data and analytics technical professionals to overcome these barriers and mature their SSA initiatives. Overview Problem St ...