Big Data

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Three People-Centered Design Principles for Deep Learning

As organizations begin adopting deep learning, leadership must ensure that artificial neural networks are accurate and precise to avoid negative impacts on business decisions that hurt customers, products, and services. A designed-centered approach helps address both these short-term concerns as well as the long-term concerns that machines might displace humans when it comes to business decision-making.

How Algorithms Can Diversify the Startup Pool

Biases related to gender and other demographic factors creep into decisions about which projects to fund with venture capital. Data-driven approaches can help tease out those biases and limit their impact. Algorithmic methods identify potential instances of discrimination and increase transparency, making it easier to find and fix problems. Aversion to algorithms can be tempered by letting decision makers retain some subjective control over the data-driven process.

The Digital Future of Strawberries

Technology may hold the answer to two of the knottiest problems faced by the U.S. economy — the shortage of farm labor and the excess of vehicle traffic. But there’s a flip side: It also enables surveillance so widespread and intrusive, companies can track even our heartbeats — and the data collected by these sensors is far from secure.

How Digital Trust Drives Culture Change

  • Frontiers

  • Research Highlight
  • Read Time: 10 min 

Beliefs and behaviors in today’s virtual world blur the definitions and boundaries of responsibility for data privacy, which is reshaping consumers’ expectations of protection. Organizations seeking to adapt their culture toward better digital trust face many challenges but can benefit from four activities in their journey toward better digital trust.

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How You Can Have More Impact as a People Analyst

In the messy real world of ambiguous evidence and contentious objectives, organizational decisions — especially those about the people you’re hiring, developing, managing, and trying to retain — usually hinge on relationships and trust. So if you work in people analytics, you must learn to traffic in that currency to make an impact. It’s not enough to be right. You also have to sell your model or idea. These tactics can help.

What to Do When Industry Disruption Threatens Your Career

Volatility in an industry should concern not only the companies within it but also the people who work for them. To stay ahead of developments that may disrupt your professional life, you must make two evidence-based diagnoses: How volatile is your industry? And what explains the volatility? The answers will equip you to disrupt your own career preemptively.

The Problem With Big Data

  • Read Time: 4 min 

The value of big data is being captured by large companies, but many small businesses are being left behind. One reason: Investors get more data from larger companies, so that’s where they place their bets. Startup and small business owners must think about their data as a new class of economic asset and understand their data helps investors assess them—which affects their ability to raise capital.

What Cloud Localization Means for Organizations

In the world of cloud computing, the spotlight has mostly been on cloud providers and their ability to help organizations digitally transform. With new scrutiny around data localization and privacy, enterprises must consider localization impacts on their cloud computing strategy as they invest and innovate with emerging technologies.

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The Big Data Problem That Market Research Must Fix

  • Read Time: 9 min 

Insight into what customers really care about often is hampered by the quality of the information being collected. Big data can support smart market research, but only if researchers embrace psychometric best practices and the basics of understanding what it is they want to measure and how. That means asking the right questions, asking enough questions, understanding how to weigh questions, and taking into consideration how people felt about the brand to begin with.

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Why APIs Should Be Regulated

Digital titans with access to large quantities of data are a challenge to competition. To maintain a competitive business environment, regulation focusing on both market and data dominance needs to be developed. Among the best tools for limiting companies’ influence: data audits.

How Big Data and AI Are Driving Business Innovation in 2018

According to a 2018 NewVantage Partners survey, executives now see a direct correlation between big data capabilities and AI initiatives. For the first time, large corporations report having direct access to meaningful volumes and sources of data that can feed AI algorithms to produce a range of business benefits from real-time consumer credit approval to new product offers.

Showing 1-20 of 103