Tech & Biz Lab
Our Tech & Biz Lab helps leaders navigate the rapidly changing technology landscape—sharing insights on how they can best adopt new technologies to reap their full potential and leave a lasting impact on organizations, individuals, and society.
We are not your traditional consultants: we are a diverse group of data scientists, engineers, and tech enthusiasts working with leading academics, external collaborators, and partners.
Our Tech & Biz Lab explores the technology horizon and shares actionable insights with leaders.
Some of our current research themes include topics such as AI competitiveness, deep tech, and AI & society.
New advances in AI are shifting us beyond its initial abilities to automate and augment existing processes. How will this latest wave reshape jobs, organizations, and entire industries?
While the US and China have established early dominance in supplying this crucial technology, other competitors are emerging. Here’s what leaders need to know.
GenAI is set to transform the geopolitical landscape, more so than any other recent technology. How can business leaders prepare for these seismic shifts and build resilient and agile digital operations?
A first-of-its-kind scientific experiment finds that people mistrust generative AI in areas where it can contribute massive value and trust it too much where the technology isn’t competent.
How can companies and governments unlock the full benefits of AI to build competitive advantage?
If they’re used indiscriminately, no-code/low-code platforms for A.I. are likely to end up doing more harm than good.
Explore emerging transformational technologies beyond AI and their potential impact on businesses.
Advanced technologies will bring big changes. Which companies will be ready to capitalize?
AI can be a critical lever to both solve and heighten societal challenges. How can we ensure that it creates a positive impact?
Only when companies are able to earn a social license for AI, winning the trust of employees, customers, and society at large, will they have what is required for the sustained use of AI at scale.
Our monthly column in Fortune shares new ideas to inspire leaders at the intersection of technology, business, and society.
AI agents are set to go beyond simply augmenting humans, becoming true co-workers alongside us.
The agility of mid-sized companies can enable them to more quickly take advantage of revolutionary technologies like generative AI.
Given the speed at which AI technologies are evolving, momentum from continuously adopting and adapting to new technologies is critical to gaining a competitive edge.
In what novel ways might leaders create, deliver, and capture value with a massive increase in computing power?
Just as an exoskeleton enhances human movement beyond natural limits, GenAI empowers workers to tackle tasks that would otherwise be out of their reach.
The metaverse itself is far from dead. In fact, the spatial computing race has only just begun.
Business leaders would do well to reacquaint themselves with the fact that the economic value of technology is greatest when it enables full workflow automation.
When it comes to data sharing in the AI era, policymakers need to ensure that the rules of the game reflect the realities of the tech.
In so many ways, the future is an attitude, a state of mind. The world’s most successful CEOs have shown that if you are decisive and unsentimental, experimental, and ambitious you can navigate through choppy waters toward your vision of the future.
Why don’t more firms share data with others to tackle big, industry-wide problems that they simply cannot solve alone?
When it comes to what’s next in AI, the future is already here—it is the strategic and flexible integration of a wide range of AI technologies through a One-AI approach.
Increasingly, a selling point for AI-powered products is how well they embody specific values such as safety, dignity, fairness, and helpfulness.
Big Tech won't always have the edge in the generative AI race.
Web3 is now being embraced by savvy incumbents, and even being integrated into the fabric of existing institutions it was once meant to challenge and overthrow.
Advancements in AI promise to be self-reinforcing, scrambling how we live and work, and redefining what we consider possible.
AI can identify metrics across organizations that require shared accountability—helping leaders break down silos between teams.
How should companies organize themselves to extract the most value from the partnership of humans and AI?
There is no doubt that A.I., especially with the advent of generative A.I., is a technological revolution. As organizations look to reap the full benefits of this technological revolution, however, they must now turn their attention to the human impact of this revolution.
Using A.I. can help companies transform their performance and sustain that transformation, not just keep track of legacy metrics.
Listen to thought-provoking conversations with authors, as we explore influential ideas on business, technology, economics, and science.
"Business today is built upon knowledge layers—information on customers, supply chains, markets…. All these layers will now be updated with…new technology, [enabling] optimized decision making, personalization, and customization."
"If we are to be able to harness the upsides [of these technologies], we have to take a cold hard look at their potential downsides. Too often, people fall into one or other camp—naive techno optimists […] or modern-day Luddites. That does not cut it anymore."
The creator of the Exponential View newsletter and community published a new book on how technology impacts economies and companies, and how this force can be best harnessed.
Companies are using AI to enhance their organizational learning, improving not only financial results, but also the ability to manage strategy-related uncertainties.
The challenge for most businesses is not preparing for a world of computing power scarcity, but rather the opposite—getting ready to seize orders-of-magnitude more affordable compute to secure novel forms of competitive advantage.
A new experiment shows that GenAI isn’t just a tool for increasing productivity—it can expand the range of tasks workers can perform.
As technology advances, the shift toward fully automated, lights-out factories will hinge on economic factors, with agile manufacturers poised to lead the way.
Sharing data with competitors might sound scary to executives, but only collaboration can solve some of industry’s biggest problems.
Speed and efficiency used to be the priority. Now issues such as safety and privacy matter too.
Findings from the MIT SMR - BCG Artificial Intelligence and Business Strategy Global Executive Study and Research Project
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