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When AI Learns the Wrong Lessons
Data bias is one of the most significant challenges facing organizations that rely on artificial intelligence (AI) and machine learning. AI systems learn from the data they are given, which means that when the data contains historical biases, gaps or imbalances, those problems can become embedded in the technology’s results. This interesting and important article…
Read MoreWelcome to the Data Quality Conversation. We’ve Been Expecting You.
There is exciting news in the world of artificial intelligence (AI). Some of the largest corporations on the planet have recently discovered that AI needs good data to work properly. CU Today brought this subject to us in their article, “Bank Of America CEO Says AI’s Biggest Challenge Isn’t Technology—It’s Data Quality.“ We’ll give everyone…
Read MoreNew Technology, New Threats
Emerging technology is transforming how organizations operate, but every new innovation also creates new opportunities for cyber threats. This important topic came to us from Tech Radar in their article, “How emerging tech is rewriting cyberwarfare.” Artificial intelligence (AI), cloud computing, the Internet of Things (IoT) and other advanced technologies are expanding the digital landscape.…
Read MoreHow Predictive Analytics Is Changing Business
For decades, businesses have relied on historical data to understand what happened and why. Predictive analytics takes that information one step further by asking a more valuable question: What is likely to happen next? Tech Times brought this topic to us in their article, “How Machine Learning Is Reshaping Large-Scale Commercial Forecasting.” Predictive analytics uses…
Read MoreWhy Data Governance Matters More Than Ever
Artificial intelligence (AI) is transforming healthcare. AI systems are helping clinicians identify diseases earlier, predict patient risks, optimize workflows and personalize treatment plans. Yet despite its potential, AI adoption in healthcare faces a significant obstacle: data governance. Healthcare IT News brought this topic to us in their article, “Before AI can deliver, healthcare orgs must…
Read MoreHow AI Is Reshaping Data Platforms
Data platforms have traditionally been designed to collect, store and organize information so that organizations can report on past events and support business operations. Today, artificial intelligence (AI) is fundamentally changing what data platforms are expected to do and how they are built. This interesting topic came to us from Biz Tech in their article,…
Read MoreSearching With and Without AI: Why Context Changes Everything
Traditional search engines have long been the primary way people find information. They work by matching keywords and ranking results based on factors such as relevance, popularity and authority. This approach is effective when users know exactly what they are looking for and can express it using the right terms. However, traditional search often requires…
Read MoreThe Hidden Price Tag of Bad Data
Data has become one of the most valuable assets an organization possesses. It drives decision-making, powers analytics, and increasingly fuels artificial intelligence (AI) initiatives. But when that data is inaccurate, incomplete or outdated, it becomes a costly liability rather than a strategic advantage. This important topic came to us from The Edge in their article,…
Read MoreData Science is Shaping the Future of Data Management in the Age of AI
Artificial intelligence (AI) is transforming nearly every industry, but rather than eliminating careers in data science, it is making them more important than ever. As organizations increasingly rely on AI-driven insights and automation, the demand for professionals who can understand, manage and govern data continues to grow. This interesting topic came to us from Brandeis…
Read MoreData Qualityis the Foundation of Successful AI Adoption
Artificial intelligence (AI) has enormous potential to transform organizations, but its success depends on one very critical factor: data quality. AI systems learn patterns, identify relationships and generate insights based entirely on the information they receive. If that information is inaccurate, incomplete or outdated, the results will be flawed. This important and timely topic came…
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