Analytics & Strategy

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The Machine Learning Race Is Really a Data Race

  • Blog
  • Read Time: 6 min 

Companies are racing to apply machine learning to important business decisions, only to realize that the data they need doesn’t even exist yet. In essence, the fancy new AI systems are being asked to apply new techniques to the same old material. The result is a visible arms race as companies bring on machine learning coders and kick off AI initiatives alongside a behind-the-scenes, panicked race for new and different data.

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From Winning Games to Winning Customers: How Data Is Changing the Business Side of Sports

  • Blog
  • Read Time: 5 min 

Sports analytics first proved its case on the field and in the front office, but as the practice spreads into business operations, the industry is addressing adoption challenges found in many sectors. At the MIT Sloan Sports Analytics Conference, speakers from teams and leagues discussed how they are using analytics to boost revenue, and how they’re managing transitions in culture and strategy.

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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.

Using Analytics to Improve Customer Engagement

The 2018 Data & Analytics Global Executive Study and Research Report by MIT Sloan Management Review finds that innovative, analytically mature organizations make use of data from multiple sources: customers, vendors, regulators, and even competitors. The report, based on MIT SMR’s eighth annual data and analytics global survey of over 1,900 business executives, managers, and analytics professionals, explores companies leading the way with analytics and customer engagement.

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Your Data Is Worth More Than You Think

Data has become a key input for driving growth, enabling businesses to maintain a competitive edge. Given the growing importance of data to companies, how should managers measure its value? An increasing number of institutions, academics, and business leaders have begun tackling the valuation problem to help organizations realize more value from their data.

What Sets Breakthrough Strategies Apart

Composing valuable strategies requires seeing the world in new and unique ways. It requires asking novel questions that prompt fresh insight. Even the most sophisticated, deep learning-enhanced computers or algorithms simply cannot generate such an outlook. Innovative strategies depend more on novel, well-reasoned theories than on well-crunched numbers.

Sustaining Advantage With Transitory Technologies

Just when you have your data collection and analysis systems in place, technology changes mean that your company needs new, updated systems. This is a problem for many companies — but it can also be an opportunity. Organizations that work with data from old and new equipment can learn more about the shortcomings that modern techniques have in this context and can gain advantage in developing tools that no one else has.

Showing 1-20 of 102