Bain & Company - Jul 28, 2021
Four Winning Patterns of Digital Transformation
While retooling to compete in a digital world is a major challenge, there’s a lot to learn from the companies getting it right.
BCG - Jul 21, 2021
What Happens When ‘If’ Turns to ‘When’ in Quantum Computing?
Confidence that quantum computers will solve major problems beyond the reach of traditional computers—a milestone known as quantum advantage—has soared in the past twelve months.
I love how this post addresses the ‘now normal’ of remote teams not as a threat but as an opportunity to “construct a workplace digitally, around a problem or issue that needs to be managed, and pull in the workers and resources required in virtual space”. There is no equivocating around the idea of remote work. Instead, the authors share how technology enables virtual workspaces if we are willing to bring a positive attitude and proactive mindset to the table. Again, another well-written article.
Deloitte - Jul 12, 2021
Reconstructing the workplace
The digital-ready organization
I highlighted this article because I hadn’t seen the acronym of AIoT (Artificial Intelligence + Internet of Things), even though it appears that the term heralds from several years back. Where have I been? I can’t say. The article is a simple 60 second read to highlight the value of using AI on real-time IoT data in order “to learn, self-correct and self-diagnose potential issues”. I like the image of this occuring in the wearables marketplace.
Geek Culture ($) - Jul 11, 2021
Analytics of IoT
AIOT: HOW THE INTERSECTION OF AI AND IOT WILL DRIVE INNOVATION FOR DECADES TO COME
Wired ($) - Jul 9, 2021
Need to Fit Billions of Transistors on a Chip? Let AI Do It
Google, Nvidia, and others are training algorithms in the dark arts of designing semiconductors—some of which will be used to run artificial intelligence programs.
This is a simple post that visits each piece of the grocery value chain and talks through how technology can be leveraged to automate processes and manage future costs. Nice review of the ubiquitous impact of technology on business (even if it is only one industry and focuses on cost management).
McKinsey & Company - Jul 2, 2021
Automation opportunities in North American grocery
Recent trends and technological advancements have made automation viable across the value chain.
This article is an interesting challenge to, if not a quasi rebuke of, industrial companies for what the authors surmise as a premature move away from AI. The article admits the undebated lack of overwhelming success of AI efforts to date, but, it proceeds to counter the objections to AI as well as to lay out some learnings for a renewed effort.
BCG - Jun 30, 2021
Can Industrial Companies Fix Their AI Engines?
When it comes to artificial intelligence (AI), there are essentially two kinds of industrial companies: those that have been hesitant to commit to AI programs, and those that have made significant investments only to come away dissatisfied with the results.
I may be the last to grow tired of “digital twinning”. This is the ability to construct a digital double of a physical or business environment, so you can model and run scenarios to create designs and/or improvements to systems. The technology is here. This article talks about the use of this approach in various aspects of city planning.
Fast Company ($) - Jun 17, 2021
These immersive, virtual 3D models are helping plan the infrastructure of the future
‘Digital twins’ of spaces like ports, roads, and train stations let planners experiment with changes before implementing them in real life.
Very interesting article about the different approaches to leverage the merits of cloud computing. It’s amazing to see how quickly companies can respond to a changing environment with the plug-and-play use of cloud applications. The article explores four approaches to cloud architecture – each delivering different benefits and constraints. I appreciated the nuance of the comparison, as I had never thought through it at this level of detail.
Deloitte. - Jun 3, 2021
A new framing for cloud innovation
Four potential scenarios for the future of cloud innovation strategy
Bain & Company - May 27, 2021
Digital Supply Chain Architecture: Less ERP, More Cloud
To build resilient supply chains, companies are replacing core enterprise resource planning technology with cloud-based capabilities.
McKinsey & Company - May 26, 2021
The new digital edge: Rethinking strategy for the postpandemic era
Our latest survey confirms that the future will belong to companies that put technology at the center of their outlook, capabilities, and leadership mandate.
Medium ($) - May 26, 2021
How To Think Like A Data Analyst: The Business Leader’s Guide
Learn how to ask better questions. Build new skills for the digital age.
Interesting review of a platform that tracks and predict physical environment trends and risks around the globe. This seems like a great data set to pipe into scenario planning and simulation efforts. I could see the same thing being automated for the other dimensions of risk present in our environment (see Amy Webb’s 11 Sources of Disruption).
Fast Company ($) - May 21, 2021
This AI platform tracks corporate climate risks around the world
The new tool from Cervest shows physical risks such as floods or droughts that have happened historically and then predicts what will happen over the next 80 years.
Last month, I highlighted articles both on reinforcement learning and on how technology is being used to strengthen strategy. In this post, we see a full integration of the two ideas. I first witnessed a nascent version of this in Erik Beinhocker’s book, The Origin of Wealth. Now, we are seeing it in reality – emergent strategy being modeled by computers!
Medium ($) - May 7, 2021
The Impact of MuZero and How AI Could Change Strategy Making
Until a few years ago, the only AI agent capable of strategy making was OpenAI’s multi-agent system. OpenAI Five was capable of playing the complex strategy game Dota2 at superhuman levels. While the OpenAI Five engineers coded the various features, rules and reward functions of the game, it learned by playing against itself; 180 years per day. It was a remarkable experience in collaboration and strategy making by an AI agent.
Bain & Company - May 12, 2021
How Upgrading Technology Helps Modernize the Business
New ERP and SaaS systems can spur changes in the operating model.
Here is an article that upholds the beneficial side of digital personas. The authors lay out guidelines for how to productively leverage the same technologies that create “deepfakes”. It remains to be seen how society will adopt these business “doubles”.
MIT Sloan Management Review ($) - Apr 27, 2021
Creating Valuable (and Trusted) Experiences With Digital Personas
Deepfakes have received much (well-deserved) bad press — but the underlying technology holds plenty of potential for companies to build positive customer experiences.
Wired ($) - Apr 28, 2021
Ford’s Ever-Smarter Robots Are Speeding Up the Assembly Line
A transmission factory shows how artificial intelligence may creep into industrial processes in gradual and often imperceptible ways.
The term “algorithmic management” has to make some of us shudder – especially in the aftermath of Cambridge Analytica – but it’s here, and I think it is here to stay. The question is whether we can harness these behavioral nudges for good. Just quickly – algorithmic management uses AI algorithms to watch, monitor, and process our individual behavior via our data emissions (phones, watches, wifi device usage like vehicle or home appliances, apps, and digital assistants, etc…) in order to prompt us to adjust our behavior. It leverages it’s knowledge of our patterns of behavior and our current context to suggest that we act in a certain way. The author encourages us to think about how we leverage these nudges in a win-win way (with our employees or customers) without crossing ethical and regulatory lines.
HBR.org - Apr 22, 2021
Algorithmic Nudges Don’t Have to Be Unethical
“Nudging” — the strategy of changing users’ behavior based on how apparently free choices are presented to them — has come a long way since the concept was popularized by University of Chicago economist Richard Thaler and Harvard Law School professor Cass Sunstein in 2008. With so much data about individual users and with the AI to process it, companies are increasingly using algorithms to manage and control individuals — and in particular, employees.
strategy+business ($) - Apr 15, 2021
How the need for secure supply chains is propelling blockchain
A PwC study predicts that blockchain’s ability to track provenance will contribute US$962 billion to global GDP over the next decade.
Enabling Technology leverages the latest software and devices to support the themes of management innovation
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MIT Sloan Management Review ($) - Oct 24, 2010