The Coming AI Revolution

The Coming AI Economic Revolution: Can Artificial Intelligence Reverse the Productivity Slowdown?” was recently published in Foreign Affairs by James Manyika and Michael Spence, two authors I’ve long admired. James Manyika is senior VP of research, technology and society at Google, after serving  as chairman and director of the McKinsey Global Institute from 2009 to 2022. Michael Spence, a co-recipient of the 2001 Nobel Prize in Economics, is professor in economics and business at NYU’s Stern School of Business, and was previously professor of management and dean of the Stanford Graduate School of Business.

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The Current State and Future Trends of Enterprise Blockchain Technologies

“Blockchain is one of the major tech stories of the past decade,” said a December, 2022 McKinsey article, “What is Blockchain.” “Everyone seems to be talking about it — but beneath the surface chatter there’s not always a clear understanding of what blockchain is or how it works. Despite its reputation for impenetrability, the basic idea behind blockchain is pretty simple,” namely: “Blockchain is a technology that enables the secure sharing of information.”

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Open Source AI: Opportunities and Challenges

“Since the 1980s, open source has grown from a grassroots movement to a vital driver of technological and societal innovation,” said “Standing Together on Shared Challenges,” a report published by Linux Foundation Research in December of 2023. “The idea of making software source code freely available for anyone to view, modify, and distribute comprehensively transformed the global software industry. But it also served as a powerful new model for collaboration and innovation in other domains.”

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Artificial Intelligence, Quantum Computing, and Space are 3 Tech areas to Watch in 2024

Every new year creates a new opportunity for optimism and predictions. In the past couple of years, emerging technology has permeated almost all areas of our lives. There is much to explore! In this article, I focus on three evolving technology areas that are already impacting our future but are only at the early stages of true potential: artificial intelligence, quantum computing, and space systems.

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6 Cyber-Threat Areas for Companies and Organizations to Prioritize

Our evolving digital world is getting trickier and trickier to protect. Every organization is now a target in the present digital environment, and every firm, big or little, has operations, a brand, a reputation, and revenue funnels that could be at significant danger from a breach.

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Generative Artificial Intelligence Strategy Approach

Artificial intelligence has been around since the 1950’s, yet even for skeptics, recent advances in Generative AI (GenAI) have significantly moved the needle forward. Due to massive early adoption, Goldman Sachs estimates that Generative AI could raise global GDP by 7% within 10 years [1]. However, while the focus has been on GenAI, it’s important to note that any GenAI strategy requires the right data and the ability to govern the data effectively with the GenAI tool. A strong GenAI strategy will include the following key components.

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Trust Is Good; Control Is Better

Risk Mitigation Strategies for Artificial Intelligence Solutions in Healthcare Management
There are a growing number of examples of how Artificial Intelligence Solutions (AIS) can assist in improving healthcare management: early diagnosis, chronic disease management, hospital readmission reduction, efficient scheduling and billing procedures, and effective patient follow-ups while attempting to achieve healthcare's quintuple aim.

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A Primer On Artificial Intelligence And Cybersecurity

The topic of artificial intelligence's rising involvement in our digital world and its associated opportunities and challenges have been the main topics of discussion at many security conferences and events in recent times. There is little doubt that humankind is on the verge of an era of exponential technological advancement, and AI is leading the way in the emerging digital world.

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Quantum Tech Needed To Secure Critical Data From Quantum Decryption

In 2021, Booz Allen Hamilton analysts surmised that China will surpass Europe and the US in quantum-related research and development and that Chinese hackers could soon target heavily encrypted datasets such as weapon designs or details of undercover intelligence officers with a view to unlocking them at a later date when quantum computing makes decryption possible.

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Generative AI on Digital Transformation - Part II: The Who

Leading a digital transformation initiative requires collaboration and alignment between business and IT teams. Both business and IT leaders have crucial roles to play in ensuring the success of the initiative. Business leaders should provide strategic direction, define the goals and objectives of the digital transformation, and ensure that the initiative aligns with the overall business strategy. They have a deep understanding of the organization's operations, customer needs, and industry trends. Business leaders can identify areas where digital technology can drive value and competitive advantage, and they can champion the necessary organizational changes.

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What’s the Likely Long Term Evolution of AI?

Since the advent of the Industrial Revolution, general purpose technologies (GPTs) have been the defining technologies of their times. Their ability to support a large variety of applications can, over time, radically transform economies and social institutions. GPTs have great potential from the outset, but realizing their potential takes large tangible and intangible investments and a fundamental rethinking of firms and industries, including new processes, management structures, business models, and worker training. As a result, realizing the potential of a GPT takes considerable time, often decades. Electricity, the internal combustion engine, computers, and the internet are all examples of historically transformative GPTs.

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Improving the Odds of Success with Digital Programs (it’s not about the technology)

In a recent LinkedIn post, David Rogers rightly described digital transformation as a combination of both digital strategy as well as organizational transformation. His simple formula reveals why so many companies struggle with their digital programs. It is: DX = D strategy + organizational X. It’s not enough to craft a business strategy enabled by digital. Organizational transformation is also needed. There’s the rub.

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Multi-Party Computation: Advisor as a Service

With the release of ChatGPT, I thought I might finally have an answer to one of the few remaining unanswered questions in economics: is there such a thing as a free lunch? After fasting through midday, I was left wondering what ChatGPT might otherwise be good for, more particularly, what meaningful data could it provide as input to my AI algorithms. Social media can be thought of as “Confirmation Bias as a Service.” It is architected to understand what confirms my beliefs and it provides that to me. It generally makes me feel good as a person, but my AI algorithms are less moved. ChatGPT is more like “Group Think as a Service.” 

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The Truth About AI In Healthcare

In heavily regulated industries such as healthcare, digital innovation can be slow to progress. However, once organizations push towards digital transformation and innovation, the benefits that can be achieved such as revenue growth, patient volume, and cost of care can provide tremendous value. Healthcare organizations are looking for an approach to cost-effective and technically efficient build-out to help on their digital transformation journeys. With investments shifting from core EMRs to infrastructure solutions that enable flexibility and adaptability, healthcare organizations are looking to digital innovation to solve these key issues. In an upcoming Enterprise Data &AI presentation on May 5, 2022, Vignesh Shetty, SVP & GM Edison AI And Platform, GE Healthcare Digital will discuss GE Healthcare’s digital health platform and how it’s helping companies in the healthcare sector on their AI and data journey.

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Machine Learning Has an AI Problem

“Machine learning has an AI problem,” wrote author Eric Siegel in a recent Harvard Business Review (HBR) article, “The AI Hype Cycle is Distracting Companies.” “With new breathtaking capabilities from generative AI released every several months — and AI hype escalating at an even higher rate — it’s high time we differentiate most of today’s practical ML projects from those research advances. This begins by correctly naming such projects: Call them ML, not AI. “Including all ML initiatives under the AI umbrella oversells and misleads, contributing to a high failure rate for ML business deployments. For most ML projects, the term AI goes entirely too far — it alludes to human-level capabilities.”

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Cybersecurity Trends & Statistics For 2023; What You Need To Know

More Treachery And Risk Ahead As Attack Surface And Hacker Capabilities Grow

Every year I peruse emerging statistics and trends in cybersecurity and provide some perspective and analysis on the potential implications for industry and government from the data. While cybersecurity capabilities and awareness seem to be improving, unfortunately the threat and sophistication of cyber-attacks are matching that progress.

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Can Artificial Intelligence Help the State of California Fend Off Atmospheric River Storms?

The last winter season has witnessed unprecedented weather conditions across the state of California, driven by a series of over 30 atmospheric river storms from October through March. The impact is two-sided. On one hand, the aquatic deluge has brought much-needed rain and snow to the drought-stricken state, hence alleviating the ongoing multi-year drought in California. The laden snowpack in the Sierra Nevada mountains is also critical for the state's water supply, as it melts in the spring and summer to provide water for agriculture and cities. On the other hand, the storms have dealt a severe impact on life and property. Heavy rain and snowfall bring potential hazards such as flooding, landslides, and mudslides. 41 of California’s 58 counties have been placed under a federal emergency declaration, while 3 of them have been bucketed under a major disaster declaration. Within a 3-week period following Christmas 2022, an estimated 32 trillion gallons of water fell across California, which could fill the state’s largest reservoir, Shasta Lake, approximately 21 times.

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