Analytics Predictions and Priorities for 2019

IIA leaders Bill Franks, Tom Davenport and Bob Morison revealed their list of 2019 analytics predictions and priorities for data-driven enterprises. Pressing topics include ethics, unique data, artificial intelligence, security, model deployment, and organizing talent.

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The State of Analytics Degrees in Universities

If you want to hire students from universities with strong analytical skills, you need to know the landscape of available programs and skills. For companies hiring graduates of analytics master’s degrees in business schools, it’s important to be aware of the differences among programs. This blog discusses the skills you should consider when hiring analytics graduates.

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AI and Digital Resources in FinTech

This article describes the potential for AI to augment risk estimation for both individual investors and financial market assets. AI processes vast amounts of a variety of data to identify patterns underpinning processes and metrics. Evolving data resources including digital touch points provide AI with attributes that can enhance risk estimation to ultimately augment elements of modern portfolio theory.

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Stephan Kudyba
The Achilles Heel of Artificial Intelligence

An AI process can appear quite intelligent within very specific bounds yet fall apart if the context in which the process was built is changed. In this blog I will discuss why adding an awareness of context into an AI process – and dealing with that context – may prove to be the hardest part of succeeding with AI. In fact, handling context may be the Achille’s heel of AI!

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Women in Technology: The Future of Data Analytics

Studies show that only 26% of data-related jobs are held by women. I attended the Women in Technology International meeting featuring a panel discussion with Rehgan Avon, Katie Sasso and Kristen Stovell on the “Future of Data Analytics”. This blog covers insights from the event across a wide range of topics including machine learning, educational resources, responsibilities of data scientists, and managing big data

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Kathy Koontz
Agile Analytics Manifesto

Many organizations struggle with implementing agile or don’t see the expected results because they treat agile as just another process. If you are considering the use of agile development for analytics, it is critical to remember that agile is much more than a process – it is a philosophical and cultural approach to delivering customer value.

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David Alles
A First Step Towards Strong AI

A common view in the press and in artificial intelligence research is that sentient and intelligent machines are just on the horizon. How much longer can it be before they surpass our intelligence and take our jobs? Before we decide if machines can surpass our intelligence, let us first define two terms that will help us get a better handle on this topic: Weak AI and Strong AI.

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Larry Bookman
Highlights from the 2018 Analytics Symposium – Atlanta

Yesterday, almost 200 of IIA’s clients, analytics experts and advisory network members gathered together to discuss the top trends and challenges of the analytics industry. The presentations were insightful, drove conversations and had actionable takeaways. The three themes of transformation, artificial intelligence (AI), and data-driven cultures were threaded in all of the presentations. This blog covers the key highlights of each session.

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Vania AhmadComment
Don't Mistake a Legacy Skillset for a Legacy Mindset

It goes without saying that the analytics and data science space is undergoing change at an unprecedented pace. At the same time, many organizations have a lot of people who are still working in the same way using the same skills they have had for years. Organizations certainly need to move beyond those legacy skillsets and the need for a skills update is real. However, I see many organizations assuming that those with legacy skillsets are no longer valuable and must be replaced. This is a mistake. There is a huge difference between a legacy skillset and a legacy mindset. The two are not the same!

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Cloudera and Hortonworks Cease Fire

Like brothers on opposite sides of a conflict, Cloudera and Hortonworks have decided in favor of peace and reuniting the family. This blog explores the implications of Hortonworks and Cloudera’s merger on the analytics software industry.

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Dan Graham
Five Ideas to Improve Your Analytics Return

At the most basic level, improving analytics returns requires discipline – namely a way baseline and measure analytics return. Assuming your process for measuring analytics value is in place, here are five ways an analytics team can improve their analytics returns.

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Phil Kelly
Is Machine Learning Analytics or AI?

One of the definitional debates that bedevils the artificial intelligence (AI) field is whether machine learning is an AI-based method or technology. Or is it just an analytics-based activity? After all, it is statistical in nature, and attempts—as virtually analytical methods do—to fit a line or curve to a set of data points. So is it really AI? And what difference does it make?

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Tom Davenport
The Varying Role of the CDxO

While the role of Chief Data Officer (CDO) is becoming commonplace in large corporations, the responsibilities of the role vary greatly. In fact, the variation in job expectation is substantial enough to delineate several distinct CDO personas into CDxOs.

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Kathy Koontz
Inconsistent Definitions Wreak Havoc on Analytics

Everyone who has lived within the world of analytics has seen cases where different parts of a business have made use of slightly differing definitions of core business metrics. Sometimes these differences lead to only minor and non-material disagreement. At other times, the differences in definition can cause massive divergence of reported results and related actions taken. When is the last time your organization took the time to really examine the strengths and weaknesses of the metric definitions being used on a daily basis?

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Are You Personally Investing With Your Analytics Expertise?

Everyone seems to agree that analytics, AI and Big Data are changing the world and that cloud computing is accelerating the adoption of these technologies. Combined, they are disrupting traditional business models and creating new market opportunities. If you are an analytics leader, data scientist, ML engineer, software engineer or other related role you see first-hand the power of analytics to unlocked hidden value in existing businesses or to enable completely new businesses. Are you using your first-hand knowledge of analytics to shape your investment strategy?

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David Alles
Joining the Inc. 5000 Ranks

We at IIA are so proud to be listed for the first time on Inc. Magazine’s Annual List of America’s Fastest-Growing Private Companies. This honor comes thanks to the efforts of the entire IIA team and the leadership of CEO and Co-Founder Jack Phillips.

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It's Time to Require Analytics in Business Plans

Profit and Loss (P&L) statements permeate businesses due to the need to track how a business is performing at overall, business unit, and even project-by-project levels. This blog raises a question: why shouldn’t an analytics plan be expected as a part of the business plan for any major initiative just like a P&L is?

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Bill Franksbill franks