Technology Implementation

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Navigating the Next Wave of Blockchain Innovation: Smart Contracts

Blockchain represents more than just cryptocurrencies and digital cash. The decentralized ledger system provides a platform for smart contracts, which are digital agreements that are fast, secure, and require no third party.

Artificial Intelligence in Business Gets Real

Companies are looking to artificial intelligence to create business value, and as MIT Sloan Management Review’s 2018 Global Executive Study and Research Report on AI shows, Pioneer organizations are pulling ahead of their counterparts. By deepening their commitment to AI and focusing on revenue-generating applications over cost savings, these early implementers are positioning themselves to reap the benefits of AI at scale.

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Agility in the Age of the Cloud

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In a webinar featuring Google Cloud’s Quentin Hardy, MIT SMR looks at historical precedents of disruptive technologies and how they remade society — and work — in the past. Are we on the brink of the next big technological disruption to business, labor, and education thanks to Big Data and Cloud technologies? And how do managers prepare themselves, their teams, and their organizations for the changes to come?

Preparing for a Blockchain Future

With the rise of blockchain and adoption of cryptocurrencies, companies across different industries can benefit from the increased trust and transparency these emerging technologies provide. Most executives recognize the need to prioritize blockchain as part of their business strategy, but the question of how to adopt and reskill can be daunting.

Digital Transformation Opens New Questions — and New Problems to Solve

Modest questions about how today’s problems could be solved more effectively lead to applications of technology with easily foreseeable gains. But when people start asking bigger, bolder questions that challenge basic assumptions about how a problem has been framed, they open up space for breakthrough innovations. That’s been the pattern in many digital realms, including cybersecurity, artificial intelligence, and the internet of things.

Four Ways Jobs Will Respond to Automation

The robots are coming! But counter to popular belief, it’s not just low-paying jobs that are at risk of automation. According to research by Scott Latham and Beth Humberd, predicting which jobs are vulnerable requires analyzing the type of value job holders deliver and the skills they use to deliver it. Workers must understand four paths of job evolution — and factors behind each path — if they hope to adapt.

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How AI Can Amplify Human Competencies

The fear of robots eclipsing human power in society, in particular the workforce, has persisted for decades despite the moderate progress of artificial intelligence systems. For professor and robotics researcher Ken Goldberg, a hybrid human-machine workforce is much more likely to take shape, and in many industries, it has already begun.

Global Competition With AI in Business: How China Differs

AI’s largest and most enduring contributions will be in non-technology sectors, and many of them will come from China. Buoyed by the country’s latest five-year plan and enabled by centralized data, Chinese companies are investing aggressively in AI and adapting their business models to make the most of AI’s potential, but unclear business cases and bottlenecks due to lacking technical capabilities hinder adoption.

Platforms That Grow Are More Than Matchmakers

Platform businesses, like Airbnb or Lyft, often talk about themselves as if they’re merely matchmakers. That’s a smart pitch — when a company is negotiating with investors. But any platform that wants to succeed will have to learn something Airbnb did: Matchmaking isn’t everything. Success also depends on identifying and mitigating risks for your buyers and sellers. The quantity and quality of goods or services bought and sold on your platform will be proportional to the amount of risk mitigated.

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Business, Technology, and Ethics: The Need for Better Conversations

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  • Read Time: 6 min 

The fusion of business, technology, and ethics is unfolding at a rate that appears to outstrip our ability as citizens to have meaningful and careful conversations about the effects of our actions on others. At the same time, the civic processes that should encourage innovative solutions to new problems appear to be broken. What we need is a commitment to honestly talk about the challenges technology now poses.

Technical Debt Might Be Hindering Your Digital Transformation

Data reveals the C-suite recognizes that technical debt — the “price” companies pay for short-term technological fixes — hinders their ability to innovate and adapt in the digital age. One strategy to combat technical debt? Digital decoupling.

Wait-and-See Could Be a Costly AI Strategy

  • Research Highlight
  • Read Time: 4 min 

Less than 5% of companies are using AI to reinvent how they do business, but the competitive intensity surrounding the technology suggests that a wait-and-see strategy could be a costly mistake. To get a share of the global profit pool of $1 trillion that AI will produce by 2030, the McKinsey Global Institute says companies should begin adopting it at scale within the next three years.

Why AI Isn’t the Death of Jobs

When pundits talk about the impact that artificial intelligence will have on the labor market, the outlook is usually bleak, with the loss of many jobs to machines as the dominant theme. But that’s just part of the story — a probable outcome for companies that use AI only to increase efficiency. As it turns out, companies using AI to also drive innovation are more likely to increase headcount than reduce it.

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