Remove Events Remove Experimentation Remove Risk Remove Strategy
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. I suggest that the simplest business strategy starts with answering three basic questions: What? encouraging and rewarding) a culture of experimentation across the organization.

Strategy 290
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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

IT 129
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BNY Mellon’s Joseph Sieczkowski: cloud removes opportunity cost

CIO Business Intelligence

Laying the foundation for its cloud strategy, BNY Mellon undertook a multi-year application modernization effort. “In On BNY Mellon’s cloud strategy: First and foremost, we view cloud as a journey, not a destination. Today, our strategy is to have a multi-cloud approach. What follows are edited excerpts of that conversation.

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10 digital transformation roadblocks — and 5 tips for overcoming them

CIO Business Intelligence

Digital transformation is not a one-time event but a continuous process. Develop a clear strategy: A clear strategy that outlines goals and objectives, timelines, and resources required is essential for digital transformation success. Digital Transformation, IT Leadership, IT Strategy

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Rapid AI Iteration, Reducing Cycle Time: Key Learnings from the Big Data & AI World Asia Conference

DataRobot Blog

At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo. At the event, a financial services panel discussion shared why iteration and experimentation are critical in an AI-driven data science environment. Closing the Value Gap: Reducing AI Cycle Time.

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Accelerating Cost Reduction: AI Making an Impact on Financial Services

Cloudera

In the ever-evolving landscape of the financial services Industry, change is a constant and transformation is a requirement — to stay at pace with new regulations, risk mitigation, and the technological developments that support transformation.

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Success Stories: Applications and Benefits of Knowledge Graphs in Financial Services

Ontotext

M&A events, role changes, etc.) Let’s consider an example about risk and opportunity event detection. So we perform large scale Named Entity Recognition of company, locations and people, and we add some topics/events. Experimentation with different technical analysis services becomes possible.