Artificial Intelligence

Showing 1-20 of 142

People-Centered Design Principles for AI Implementation

  • Video | Runtime: 0:59:03

As the AI field currently stands, deep learning is playing an increasingly critical role. As organizations begin adopting deep learning, leaders must ensure that these artificial neural networks are accurate and precise–lest they negatively affect business decisions and potentially hurt customers, products, and services.

The Five Bestselling MIT SMR Articles of 2019

  • Read Time: 3 min 

This year’s bestselling articles examine perennial challenges for leaders and organizations. From predicting how technology will impact markets and outcomes to creating successful frameworks for strategic decision-making, this collection of articles gives managers practical insights for leading in an age of uncertainty and disruption.

Is Deep Learning a Game Changer for Marketing Analytics?

The technology that underpins deep learning is becoming increasingly capable of analyzing big databases for patterns and insights. Before long, companies will be able to integrate a wide array of databases to discern what consumers want, and then leverage that information for market advantage. Deep learning might also be used to design products to meet consumers’ personal needs. Different types of organizations will try to harness the powers of deep learning in their own ways.

Closing the Innovation Achievement Gap

  • Read Time: 4 min 

What makes a company an innovation leader? To a great extent, it’s a matter of mindset. Executives whose technology-led transformation projects aren’t delivering the expected value must make strategic shifts in terms of their companies’ technology adoption, technology penetration, and organizational change.

advertisement

Learning From Automation Anxiety of the Past

  • Read Time: 6 min 

AI and automation might benefit society at large, but there will be losers in the process, and at times even outright resistance, if people feel that their jobs and incomes are threatened. To avoid a backlash against the technology, governments must address its social costs and pursue policies that kick-start productivity growth while helping workers adapt.

Demystifying the Intelligence of AI

  • Read Time: 7 min 

Three common trouble points impede companies moving toward using AI: Leaders are unclear what it means to adopt AI; systems are drawing from too much junky data; and there isn’t a careful balance between customer loss of privacy and the value returned. These problems can be resolved only when leaders pay close attention to the strategic challenges of bringing AI on and approach AI as an integrated element of their processes.

The Best of This Week

  • Read Time: 2 min 

This week’s must-reads for managing in the digital age: the promise of a symbiotic human-AI strategy, how leaders are responding to regulatory rollbacks, spurring innovation through internal-external partnerships, and the power and potential of metrics done right.

Creating the Symbiotic AI Workforce of the Future

  • Frontiers

  • Research Highlight
  • Read Time: 7 min 

To effectively implement AI, organizations will need to use human-centered AI processes that motivate and retrain workers, which shifts the focus from automation to collaboration between humans and machines. To test that idea, an experiment was designed to see how human workers might augment an existing AI system and embrace their new roles as AI trainers — resulting in a symbiotic system that enabled humans and AI to each work to their strengths.

advertisement

Winning With AI

AI promises rewards but also comes with risks ― namely, that competitors figure out how to successfully use it before you do. This year’s 2019 MIT SMR-BCG Artificial Intelligence Global Executive Study and Research Report shows early AI winners are focused on organization-wide alignment, investment, and integration.

The Best of This Week

  • Read Time: 2 min 

This week’s must-reads for managing in a digital age: What the U.S. is getting wrong about the race for powerful AI, why putting culture front and center when managing is important, Facebook faces cryptocurrency hurdles, and why sports analytics fail in the playoffs.

Tell Your Colleagues: MIT SMR Is Unlocked Today Through Thursday

  • Read Time: 2 min 

On Oct. 8-10, MIT SMR is dropping its paywall — all of the content is freely available to visitors. Readers will have immediate access to ideas, research, benchmarks and tools, all grounded in the reality of our technologically driven economy and society. We’re offering some recommendations based on what readers tell us are some of the most pressing problems they’re facing right now.

advertisement

Sponsor's Content | Mondelez International’s Intelligent Automation Journey: From Cost Savings to Value Creation

  • MIT SMR Connections | Content Commissioned by EY

An in-depth case study reports on Mondelez International’s experiences as it has moved to streamline business processes, improve customer experience and drive additional revenue via AI technologies. The report tracks the implementation of robotic process automation as part of the global snack conglomerate’s AI journey and shares lessons learned along the way.

The Right Way to Regulate the Tech Industry

  • Read Time: 5 min 

There’s very little regulatory oversight for the tech industry, and this has become a problem. The status quo lacks transparency and shuts down competition — while holding no one accountable for breaches of trust. Some want big tech companies broken up. Others want stronger government oversight. They all are trying to answer the same question: What’s the best way to regulate the tech industry so that privacy and ethics concerns are addressed without stifling innovation?

Showing 1-20 of 142