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.

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.

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.

This week’s must-reads for managing in the digital age: avoiding the technology trap; blockchain is vulnerable too; and good storytelling with data.

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.

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.

This week’s must-reads for managing in the digital age: What to do when your CEO is fired, making work less stressful for your employees, the lure of “so-so” technology, and why organizations should question the intelligence of AI.

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.

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.

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.

This week’s must-reads for managing in the digital age: Figuring out how to make AI work for you; the obstacles facing women early in their careers; the pitfalls of a transparent world; how CIOs evolve into technology strategists.

Discuss key strategic issues raised in the 2019 MIT SMR-BCG Artificial Intelligence Global Executive Study and Research Report during a live Twitter chat.

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.

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.

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.

This week’s must-reads for managing in a digital age: How not to frame a public offering, when humans don’t trust robots, the dark side of agile, and the most important skill an effective leader can have.

Companies are beginning to experiment with AI-driven tools to better coordinate the workflows in different business silos. The result: More effective integration of efforts among business units and between business partners.

This week’s must-reads for managing in a digital age: The right way to regulate big tech, how 5G will change the nature of work, and a new podcast for busy leaders.

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?