How Machine Learning Is Helping Patients Get Test Results Faster
Waiting for test results can be agonizing, and we’ve all been there. Machine learning is helping healthcare teams shorten some of that wait by spotting patterns in medical images and laboratory data, then directing attention to results that may need prompt review. The National Institutes of Health brought this topic to our attention in their…
Read MoreContext Layers: The Missing Piece in Better AI Answers
Ask an artificial intelligence (AI) tool, “What is our policy on remote work?” and it may find a document with exactly those words in the title. That sounds like success until you discover the policy was replaced last year, applies only to one department or was written for a different country. DATAVERSITY brought this important…
Read MoreAI Didn’t Replace Taxonomies – It Made Them More Useful
Every few years, a new technology arrives and someone declares an older discipline dead. With artificial intelligence (AI), taxonomies have become a frequent target. Why spend time organizing information into agreed-upon categories when a model can read a document, identify its subject and answer a question in seconds? It is a reasonable question. AI can…
Read MoreWhen Information Is Everywhere, What Do Employees Remember?
A workplace used to reward the person who knew where everything was. Now, a quick search can surface a policy, project history or technical answer in seconds. That access is valuable, but it may also change what employees commit to memory. This interesting subject came to us from Harvard Business Review in their article, “The…
Read MoreChatbots in AI Search: Helpful Guide or Confident Guess?
Search used to give us a list of links and leave the reading to us. Artificial intelligence (AI) chatbots offer something different: ask a question in everyday language, get a summary, then ask a follow-up without starting over. That can be useful when you’re comparing options, learning an unfamiliar topic or trying to find the…
Read MoreEnterprise AI Is Moving Fast
Enterprise artificial intelligence (AI) adoption is moving at remarkable speed. Organizations are embedding AI into customer service, research, operations, analytics, content creation and decision-making – sometimes with a thoughtful strategy and sometimes because everyone else is doing it. This interesting topic came to us from Silicon ANGLE in their article, “Enterprise AI readiness trails the…
Read MoreBetter Together: Using AI to Strengthen Workers, Not Replace Them
Much of the conversation about artificial intelligence (AI) focuses on whether machines will replace human workers. But organizations often gain more value when AI is developed and applied as a tool that improves employee performance rather than eliminates employees altogether. This interesting, important and timely topic came to us from Nature in their article, “Why…
Read MoreFollow the Data: Why Data Lineage Matters for Governance and AI
Artificial intelligence (AI) is only as reliable as the data behind it. When an AI system produces an inaccurate, biased or simply baffling result, one of the first questions should be: Where did the data come from? Data lineage helps answer that question. Data lineage is the documented journey of data throughout its lifecycle. It…
Read MoreThe Changing Career Landscape for College Graduates
Artificial intelligence (AI) has and continues to reshape the job market college graduates are entering. While concerns about automation are justified, AI is also creating opportunities for graduates who learn how to work with it rather than compete against it. This timely and important topic came to us from NPR in their article, “Many recent…
Read MoreData Analyst vs. Data Scientist: What’s the Difference?
Data analysts and data scientists both work with data, but they typically answer different kinds of questions. This interesting topic came to us from Boston University in their article, “Data Analyst to Data Scientist: What Actually Changes in the Work.“ A data analyst focuses primarily on understanding what has happened and what is happening now.…
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