When 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…

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Chatbots 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…

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Enterprise 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…

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Better 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…

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Follow 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…

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The 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…

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Data 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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How AI Is Changing the Role of Data Analytics

Data analytics used to spend much of its time answering a familiar question: What happened? Analysts gathered data, built reports, spotted trends and helped organizations make sense of the past. Artificial intelligence (AI) has made that work faster, but it has also changed what organizations expect from it. This interesting and important topic came to…

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AI Is Only as Good as the Data Behind It

Everyone wants to talk about what AI can do. Fewer people want to talk about where it gets its data, who maintains that data or whether anyone can find the latest version of it. Fair enough. Data management is not the flashy part. It is, however, the part that keeps the flashy part from confidently…

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