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12 articles
A wireframe dashboard titled Agent-reported data quality: a list of impacted agents with one highlighted as stopped, a chart where quality dips and recovers, a health gauge, and a report passed to its owner
AI strategy

Data Quality in the Era of AI Agents

Poor data quality has always been the single point of failure of data-intensive projects. AI agents widen that risk beyond the project and beyond the company: agents read data, documents, web results and the outputs of other agents, many of them owned by someone else, and act on them. Keeping your own data clean is no longer enough. You need a system that spots, reports and responds to poor data, wherever it comes from, and watches what your agents consume and produce.

· 22 min read
A glowing light bulb with an AI chip at its centre, surrounded by orange and blue sparks on a dark background
AI strategy

The Innovator's Identity Crisis in the Age of AI

AI changes what "being an innovator" means, not only how fast innovation events run. When AI generates ideas in seconds and builds prototypes in minutes, the satisfaction of creative problem-solving is replaced by the general skill of directing an AI agent. This article examines the shift from ideation to synthesis, the cultural risks most companies are ignoring, and why the human-in-the-loop principle is a design requirement, not only a safeguard.

· 16 min read
Illustration titled AI Agents That Shop (and Sell) For You: a robot in a phone links a shopper and a seller
AI strategy

AI Agents That Shop (and Sell) For You

In 2016, a US patent application described AI agents that buy and sell on behalf of humans. Since then, 56 later filings from Visa, Capital One, Walmart, and IBM have cited it, and the major tech companies are now building what it described. This article explains how agentic commerce works, who's building it, and where the opportunity lies.

· 16 min read
Close-up of RGB-lit memory modules and a liquid cooler inside a computer
AI strategy

Artificial Intelligence beyond hype

Artificial Intelligence is probably one of the most popular and hyped technology terms of our time. But, beyond the media hype, there is a real revolution happening.

· 4 min read
Abstract close-up of green and red illuminated mesh netting on a dark background
AI strategy

How to transform a company into an AI-Powered organization

Transforming into a data-driven, AI-first organization, will always be an ongoing journey since it is part of the overall Digital Transformation Initiative which calls for continuous improvement and adaptation.

· 6 min read · by Harry Mamangakis
How AI Revolutionizes Retail
AI strategy

How AI Revolutionizes Retail

Modern retailers need a near-real-time view of the entire retail business – demand, supply chain, distribution, customer interaction, market dynamics, and emerging trends. They need a holistic view that supports better, faster decision-making and a more effective impact measurement framework. AI can make a huge difference in this direction.

· 4 min read
What’s Next for Artificial Intelligence
AI strategy

What’s Next for Artificial Intelligence

Artificial Intelligence is one of the most popular technology terms of our time and, very frequently, overused or even misused. The media loves both the success stories and ‘dystopias’ driven by Artificial Intelligence. Machines replacing human workers, AI exceeding human intelligence, robots taking control, and so on.

· 15 min read
Data-Driven Companies and the Importance of a Data Culture
AI strategy

Data-Driven Companies and the Importance of a Data Culture

The term ‘Data-driven’ implies much more than just technology and data: it means a special mindset and leadership attitude that makes it possible for a company to make informed decisions by systematically using data to improve business performance.

· 4 min read
Close-up of a blue human eye overlaid with white digital interface graphics
AI strategy

Is Artificial Intelligence a Threat?

Artificial Intelligence brings impressive applications, with remarkable benefits for all of us; but there are notable unanswered questions with social, political, or ethical facets. The main concerns focus on technological unemployment, while equally important issues arise regarding potential applications of AI, the access to data, and the outputs of AI models.

· 5 min read
The Future of Business Intelligence is … Voice
AI strategy

The Future of Business Intelligence is … Voice

Business Intelligence systems of the future will provide answers, not just data. The complexity of analyzing data will be hidden under next-generation NUI experiences. Insights and data stories will be incorporated in the right format, for the specific user and timing.

· 3 min read
Technology and Innovation in the Era of Artificial Intelligence
AI strategy

Technology and Innovation in the Era of Artificial Intelligence

Technology is moving at an incredible pace. We live in the fascinating era of autonomous cars, computer vision, personalized medicine, and quantum computing. Artificial Intelligence, crypto-currencies, advanced automation, deep learning and concepts like Universal Basic Income are about to reshape our world.

· 7 min read
How Artificial Intelligence Disrupts Employment and the Workforce - the Types of Jobs to be Impacted
AI strategy

How Artificial Intelligence Disrupts Employment and the Workforce - the Types of Jobs to be Impacted

Although Artificial Intelligence dramatically improves our world in many ways, there are notable concerns regarding the forthcoming impact of AI on employment and the workforce. There are predictions talking about millions of unemployed people in the next decades, primarily due to the impact of Intelligent Automation and AI systems.

· 5 min read
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