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The AI continuum

CIO

AI’s broad applicability and the popularity of LLMs like ChatGPT have IT leaders asking: Which AI innovations can deliver business value to our organization without devouring my entire technology budget? How you use AI will vary based on the nature of your business, what you produce, and the value you can create with AI technologies.

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Why CIOs should invest in digital through economic headwinds

CIO

Approximately 34% are increasing investment in artificial intelligence (AI) and 24% in hyper-automation as well. Investing in ICI would supposedly increase growth for cities and businesses, and improve the lives of citizens. Artificial Intelligence, Digital Transformation, Innovation, Machine Learning

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What is enterprise architecture? A framework for transformation

CIO

Goals of enterprise architecture EA is guided by the organization’s business requirements — it helps lay out how information, business, and technology flow together. A good EA strategy considers the latest innovations in business processes, organizational structure, agility, information systems, and technologies.

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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Companies that lead in technology innovation achieve 2-3x more revenue growth as compared to their competitors. Savvy CEOs focused on getting back to growth in the wake of the global pandemic are prioritizing technology to accelerate digital transformation and drive innovation. Skill shortages can delay project kickoffs and delivery.

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N2Growth Helps Businesses Combine Strategy & Innovation for a Consumer-First Approach to Digital Transformation

N2Growth Blog

To stay competitive, brands must innovate and transform. That transformation requires adopting new digital technologies in every aspect of business — from product design and operations to customer service and marketing. Then he moved into media — helping Nielsen innovate the first global internet management service.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This makes them ideal for more advanced analytics activities, including real-time analytics and machine learning. Processed data section.

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT.

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