Tue.Jul 11, 2023

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Five reasons why few companies are data driven

Jeffrey Phillips

For years now, we've heard of the importance of becoming a "data driven" organization. Being data-driven, we are told, means making decisions not based on gut instinct or what managers believe is true, but based on evidence, on hard data. This, it would seem, should be simple. After all, businesses have had robust IT systems and teams for years. The advent of ERP in the 1990s and beyond created sweeping systems that automated many sectors of the business.

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Are You Future-Proof? Preparing for Technological Disruptions

Phil McKinney

Have you ever stopped to wonder how ready you are for the inevitable future of technological advancements? We live in unprecedented technological advances, and with these advances come disruptions that can significantly impact our lives and businesses. Technology is profoundly changing how we work and live, from automated manufacturing to artificial intelligence.

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What does learning fueled by student motivation look like?

Christensen Institute

In 2020, my wife and I bought a used 2017 Nissan Leaf (an all-electric vehicle) for her commute to work. We thought it was a practical choice, but we soon found our purchase had come with some serious limitations. First, the car had very limited range, meaning we had to restrict our trips to about a 30-mile radius from our house. Then, about a year into owning the car, an even worse issue came up that gave us major heart palpitations: the car would completely lose power and stall while climbing

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Are You Creative or Reactive?

Innovation Excellence

GUEST POST from Robyn Bolton Creative and reactive both contain the same letters. Different order. Very different results. These are strange times. A relentless stream of news and updates are coming at us, warning us about COVID-19, a declining stock market, rising unemployment, and the financial crunch facing millions and millions of individuals and families.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, CTO of Betterworks, will explore a practical framework to transform Generative AI prototypes into

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5 Factors That Make for a Great Employee Experience

Harvard Business Review

Decades of business strategy have urged leaders to concentrate the bulk of their business efforts on the customer experience. While prioritizing customers over employees can drive short-term revenue growth, it will cost companies in long-term employee retention and engagement. The author and colleagues conducted a new study of thousands of employees and executives from around the world and across multiple industries.

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5 applications and tools for boosting healthcare professionals’ workflows with Generative AI

Board of Innovation

5 applications and tools for boosting healthcare professionals’ workflows with Generative AI In the fast-paced world of healthcare, where time is of the essence for healthcare professionals (HCPs), harnessing the power of Generative AI can be a game-changer. Author Pierpaolo Padula Principal Consultant Healthcare Key takeaways Reduce HCP's administrative burden Provide 24/7 patient follow-up and support Boost healthcare professionals' further education Accelerate diagnosis Personalize pat

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Decision Making in the Era of Growing Constraints (Part 1)

Planview

The success or failure of every company and every individual within a company is the culmination of the decisions they make. ​​ Some of these decisions are strategic “bet the company” decisions – like which low-carbon technology to bet on to diversify their portfolios and meet emissions reductions goals, which country to build a data center in, or which drug line to invest in proving out over the next decade for future decade revenue realization.

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To Get Better Customer Data, Build Feedback Loops into Your Products

Harvard Business Review

Thanks to the increasing availability of AI, including machine learning algorithms, deliberately creating customer data feedback loops is now possible for most products and services. This means that as a firm gathers more customer data, it can feed that data into machine learning algorithms to improve its product or service, thereby attracting more customers, generating even more customer data.

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Q-ideate

Qmarkets

By using principles of innovation portfolio management, organizations can structure and optimize their portfolios better over time. The three horizons model is one of the key models to provide this structure. It also helps to ensure your organization applies an innovation process that is tailored to your unique goals.

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What the Best Leaders Know — and What Skills They Develop

Harvard Business Review

A conversation with leadership expert Adam Bryant on the recipe for success.

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.