This article will focus on the outlook for AI over the period from 2020 to 2025. The next in the series will consider the longer term potential of AI
The tragedy of lost lives and economic recession caused from the Covid-19 crisis is likely to result in an acceleration of digital transformation and adoption of AI technology. A number of articles and leading firms have made forecasts of accelerated transformation… Read More
Tag Archives: Strategy
Artificial intelligence (AI): 5 trends, hype-tested
Are you exploring how to best implement artificial intelligence in your business? Consider these trends, which are key to a future of practical AI business applications
If you are considering using artificial intelligence (AI) to mature your foundational IT and data capabilities, how do you separate hype from reality?
… Here are five industry trends that will help. Read More
Emerging technologies are reshaping financial services. Here’s how
A new report from the World Economic Forum explores how emerging technology clusters are changing the financial services industry.
AI, IoT, cloud computing and 5G, among other technologies, offer new opportunities to both consumers and businesses.
This reportoffers a framework for understanding how AI is combining with other emerging technologies and shaping the financial services industry. The report is the result of more than 200 expert interviews and nine international workshops over the past year as part of the Forum’s AI in Financial Services project.Here are three ways in which we will begin to experience the effects of these technology clusters. Read More
We’re entering the AI twilight zone between narrow and general AI
With recent advances, the tech industry is leaving the confines of narrow artificial intelligence (AI) and entering a twilight zone, an ill-defined area between narrow and general AI.
To date, all the capabilities attributed to machine learning and AI have been in the category of narrow AI. No matter how sophisticated. …To date there are no examples of an AGI system, and most believe there is still a long way to this threshold. …Nevertheless, there are experts who believe the industry is at a turning point, shifting from narrow AI to AGI. Read More
The Secret to AI Is People
Too many business leaders still believe that AI is just another ‘plug and play’ incremental technological investment. In reality, gaining a competitive advantage through AI requires organizational transformation of the kind exemplified by companies leading in this era: Google, Haier, Apple, Zappos, and Siemens. These companies don’t just have better technology — they have transformed the way they do business so that human resources can be augmented with machine powers.
How do they do it? To find out, we conducted a multistage study over five years, beginning with a survey of senior managers and executives, followed by interviews and surveys across a wide range of industries to identify technology implementation strategies and barriers, and in-depth studies of five leading organizations. Our key takeaway is counterintuitive. Competing in the age of AI is not about being technology-driven per se — it’s a question of new organizational structures that use technology to bring out the best in people. The secret to making this work, we learned, is the business model itself, where machines and humans are integrated to complement each other. Machines do repetitive and automated tasks and will always be more precise and faster. Read More
Artificial Intelligence and National Security
Artificial intelligence will have immense implications for national and international security, and AI’s potential applications for defense and intelligence have been identified by the federal government as a major priority.
There are, however, significant bureaucratic and technical challenges to the adoption and scaling of AI across U.S. defense and intelligence organizations. Moreover, other nations—particularly China and Russia—are also investing in military AI applications. As the strategic competition intensifies, the pressure to deploy untested and poorly understood systems to gain competitive advantage could lead to accidents, failures, and unintended escalation. Read More
The great acceleration
The fault lines between industries and business models that we understood intellectually before the COVID-19 crisis have now become giant fissures, separating the old reality from the new one. Just as an earthquake produces a sudden release of pent-up force, the economic shock set off by the pandemic has accelerated and intensified trends that were already underway. The result is a dramatic widening of the gap between those at the top and the bottom of the power curve of economic profit 1 —the winners and losers in the global corporate-performance race. Read More
The Essential Guide to Creating an AI Product in 2020
Working on a new Artificial Intelligence-powered product in 2020? If you’re wondering where to start, I’m hoping that this post helps you get your questions answered and thoughts organized before you dive in deep. It is framed for the benefit of the AI product owner in an organization tasked to identify the product to be built, form a team, get it built, and launch it for real users with pain points. Read More
6 Step Guide for CIOs to Implement AI for Business Transformation
Artificial Intelligence (AI) environment has risen from data scientists to reach the boardroom as a pre-curser to digital transformation. Clayton Christensen, author of The Innovator’s Dilemma, a disruptive technology adds to the premise writing AI “enables new markets to emerge” to disrupts an existing market status-quo.
The adoption path of AI needs a well thought out strategy to evolve in response to the dynamically changing technology parlance. These changes are well equated to the waves in an ocean, where either CIOs need to learn how to ride the wave or be overpowered by its force. Read More
For AI, data are harder to come by than you think
AMAZON’S “GO” STORES are impressive places. The cashier-less shops, which first opened in Seattle in 2018, allow app-wielding customers to pick up items and simply walk out with them. The system uses many sensors, but the bulk of the magic is performed by cameras connected to an AI system that tracks items as they are taken from shelves. Once the shoppers leave with their goods, the bill is calculated and they are automatically charged. Read More
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