patrick.net

Sacramento and local governments in CA also

AI is WAY over rated.

Way, way, way overrated. The latest Security Guard Robot, developed for millions by IT Geniuses, drove itself into a fountain hours after it's test patrolling began. Speaking of AI, no robot built has learned to open simple latch doors yet.

This is something my organic replicant figured out a few weeks after he learned to walk.

2+ Billion years of Trial and Error with lives on the line since Eukaryotes first emerged, with mass extinctions from the Great Oxygenation Event to Snowball Earths to multiple Hothouses, Heavily Acidified Oceans, 350x CO2 levels, etc. etc. won't be caught up to anytime soon.

That's what they said about Wind and Solar.

It depends, ATMs etc work great and maybe making cars, burgers etc? But more complex stuff might be more difficult?

Thorium Molten Salt reactors must be built left and right. That's the solution.

You can keep the pressure inside less than that of the atmosphere, and since it doesn't cool with water nor does it need to be many times the atmospheric pressure at sea level, there's no steam escaping anyway like in Obsolete Uranium & Water Cooled reactors.

In the 70s, thanks to misguided environmentalists and Presidents Nixon through Carter, we nixed huge chunks of our nuclear research programs and lost half a century of development.

895Isp engines, bitches.

AI is the future, assuming they ever get it to work properly. It also might spell the doom of humanity. All depends on how the singularity goes!

THE SKY IS FALLING, FOLKS!!!!

Early adopters of AI in transportation and logistics already enjoy profit margins greater than 5% — while non-adopters are in the red
This is a preview of a research report from Business Insider Intelligence, Business Insider's premium research service.

Major logistics providers have long relied on analytics and research teams to make sense of the data they generate from their operations.



But with volumes of data growing, and the insights that can be gleaned becoming increasingly varied and granular, these companies are starting to turn to artificial intelligence (AI) computing techniques, like machine learning, deep learning, and natural language processing, to streamline and automate various processes. These techniques teach computers to parse data in a contextual manner to provide requested information, supply analysis, or trigger an event based on their findings. They are also uniquely well suited to rapidly analyzing huge data sets, and have a wide array of applications in different aspects of supply chain and logistics operations.

AI's ability to streamline so many supply chain and logistics functions is already delivering a competitive advantage for early adopters by cutting shipping times and costs. A cross-industry study on AI adoption conducted in early 2017 by McKinsey found that early adopters with a proactive AI strategy in the transportation and logistics sector enjoyed profit margins greater than 5%. Meanwhile, respondents in the sector that had not adopted AI were in the red.

However, these crucial benefits have yet to drive widespread adoption. Only 21% of the transportation and logistics firms in McKinsey's survey had moved beyond the initial testing phase to deploy AI solutions at scale or in a core part of their business. The challenges to AI adoption in the field of supply chain and logistics are numerous and require major capital investments and organizational changes to overcome.

In The AI in The Supply Chain Report, Business Insider Intelligence, Business Insider's premium research service, explores the vast impact that AI techniques like machine learning will have on the supply chain and logistics space. We detail the myriad applications for these computational techniques in the industry, and the adoption of those different applications. We also share some examples of companies that have demonstrated success with AI in their supply chain and logistics operations. Lastly, we break down the many factors that are holding organizations back from implementing AI projects and gaining the full benefits of this disruptive technology.

Here are some of the key takeaways from the report:

• The current interest in and early adoption of AI systems is being driven by several key factors, including increased demands from shippers, recent technological breakthroughs, and significant investments in data visibility by the industry's largest players.

• AI can deliver enormous benefits to supply chain and logistics operations, including cost reductions through reduced redundancies and risk mitigation, improved forecasting, faster deliveries through more optimized routes, improved customer service, and more.

• Legacy players face many substantial obstacles to deploying and reaping the benefits of AI systems, though, including data accessibility and workforce challenges.

• AI adoption in the logistics industry is strongly skewed toward the biggest players, because overcoming these major challenges requires costly investments in updating IT systems and breaking down data silos, as well as hiring expensive teams of data scientists.

• Although AI implementations are unlikely to result in large-scale workforce reductions in the near term, companies still need to develop strategies to address how workers' roles will change as AI systems automate specific functions.

In full, the report:

• Details the factors driving adoption of AI systems in the supply chain and logistics field.

• Examines the benefits that AI can deliver in reducing costs and shipping times for supply chain and logistics operations.

• Explains the many challenges companies face in implementing AI in their supply chain and logistics operations to reap the benefits of this transformational technology.

https://www.businessinsider.com/ai-supply-chain-logistics-report-2018-1

Note: Take particular note of the reference to "legacy" players in the first list of bullet items.

In the past I have commented over and over again about "legacy" plants and institutions not being able to transition quickly and having too much baggage they are unable or unwilling to get rid of to be competitive.