The Fastest Growing Analytics And Data Science Roles Today

Not long ago, the role of Data Scientist was what most companies wanted to discuss with me in terms of roles they needed to understand and add to their organizations. Then, the role of Data Engineer became a big topic of discussion. In the past year, there has been a massive increase of attention being paid to yet another role that is still new enough that its title hasn’t been standardized.

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Welcome to the Age of Explainability

Modern life has been good for those who understand and can develop analytics. From sex to soccer, data and algorithms are having an increasing impact on how important decisions are made. But it hasn’t been as pleasant for those who don’t understand algorithms but are still subject to the decisions they help to make.

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It’s Almost Time to Submit Your ANNY Application!

It’s almost time to start submitting your ANNY application! Throughout the last eight years, IIA has been hosting the ANNY Excellence in Analytics Award. This coveted award has been given to organizations and departments who are making large strides within their organization with their analytics. IIA has this award to help celebrate those in the industry who are real change drivers.

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So, You Hired a Data Scientist – Now What?

You’ve spent a lot of time and energy finding just the right person to fill your new data scientist role. The individual has settled into the position and is proving to be a successful hire for your organization. Looking forward, what can you do to retain the individual and help him or her stay engaged and successful?

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The Questionable Analytics of Censorship

Historically, concerns about over-zealous censorship have focused on repressive governments. In the United States, free speech has been a pillar of our society since its founding. For the most part, government attempts at censorship or speech restrictions receive swift and successful push back. In recent times, however, a new path to censorship has arisen in the form of search engine and social media companies that are building analytically-based censorship algorithms.

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The All-Inclusive Analytics Organization

Whatever your favorite taxonomy or category of analytics, I’m here to argue that it doesn’t matter from an organizational standpoint. That is, I think all the categories should be supported by one organization. I’ll spend the rest of this post arguing why an inclusive approach is more effective.

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AI’s March Toward Industrialization Continues: Highlights from the O’Reilly AI Conference

Last week, IIA attended the O’Reilly AI Conference (#TheAIConf) in New York City. The O’Reilly AI Conference continues to provide an informative and comprehensive overview of artificial intelligence and its accelerating transition from research to industrialization. Sessions covered a broad spectrum of AI topics, including cutting-edge research, open source tools, regulatory considerations, use cases and best practices for implementation. This conference continued to include the AI Business Summit, focused on exploring the AI challenges, opportunities and risks from the enterprise perspective. Over 2,000 people attended the conference.       

The Wednesday and Thursday morning keynotes showcased all these themes and included the following highlights..

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AI Is Destroying Traditional Business Thinking

We all have seen a shift in the companies and industries that have larger market value. The change from manufacturing to digital companies as the hot organizations has not happened overnight. Yet the speed in which they have climbed the ranks is faster than most could have imagined.

In the article below by Thomas H. Davenport, Barry Libert, and Megan Beck they answer the question; “So what do you do if you are a leader of a company and want to make the shift from the product and services economies of the last economy to the scale and economics of the current one based on platforms, networks and AI?”

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Spring Analytics Symposium in Review – Portland, OR 2019

Nearly 200 of IIA’s clients, analytics experts, and members of the analytics community gathered in Portland, Oregon this week for the spring Analytics Symposium. IIA also hosted its first Women in Analytics networking event, an interactive Analytics Workshop, and introduced two tracks of sessions to bring the most value to attendees. This blog covers key themes of the conference and highlights from each session.

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Human or Machine? Two Paths for Deploying Analytics

As data science and analytics teams continue to feel pressure to deliver more value from analytics, many organizations still struggle with the processes and technology required to deploy models into production and more rapidly make data-driven decisions. When evaluating how to best undertake these activities, organizations should consider an important distinction to determine the best path forward.

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Three Steps for Creating the Analytics Dream Team

Building your team is hard work. Finding the right skills, the right personalities, the right types of motivation to build a team that works well together like a well-oiled machine… feels almost impossible at times. So what do you do? We at International Institute for Analytics (IIA) have been answering that question for our clients for as long as we can remember. In this blog, we are going to share three key strategies we have learned working with analytics teams of all sizes and maturity.

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A Common Trap That Undermines Analytics Credibility

Over the years, I’ve seen analytics professionals of all stripes blow their credibility and lessen their impact by falling into a common trap. I have to admit that I fell victim to the same trap early in my career. While our intentions are pure, our analytical minds and approaches can get the best of us and we explain too much. We’ll be better off if we learn to provide less detail and stop talking sooner than we are naturally inclined to.

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Article Review: The New Job Description for Data Scientists

The New Job Description for Data Scientists, an InformationWeek article by Rich Wagner, outlines important trends about the future of data scientists and their role in analytics functions. This blog covers key takeaways from Wagner’s article and three recommendations for analytics leaders based on the trends discussed.

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