Link: Eden: The Tech That’s Bringing Fresher Groceries to You

Wal-mart using ML and analytics to keep food fresher:

“For example, take everybody’s favorite, the banana. This tasty fruit is consistently among the best-selling grocery items in Walmart’s U.S. stores. Bananas travel from seven countries in Latin America to over 4,000 stores in the U.S. On such a long road, what happens to those bananas if temperatures in the container trucks exceed acceptable ranges? In the future, Eden will be able to recalculate the freshness factor and re-route the shipment immediately. The bananas end up in a closer store to optimize freshness, consumers take home a delicious bunch, and everyone is happy.

Eden also helps eliminate food waste. Our goal is to eliminate $2 billion in waste over the next five years. Already, Eden is being used in 43 distribution centers and has prevented $86 million in waste from happening.

What was once a manual inspection process is now more efficient and thorough than ever.”
Original source: Eden: The Tech That’s Bringing Fresher Groceries to You

Link: Eden: The Tech That’s Bringing Fresher Groceries to You

Wal-mart using ML and analytics to keep food fresher:

“For example, take everybody’s favorite, the banana. This tasty fruit is consistently among the best-selling grocery items in Walmart’s U.S. stores. Bananas travel from seven countries in Latin America to over 4,000 stores in the U.S. On such a long road, what happens to those bananas if temperatures in the container trucks exceed acceptable ranges? In the future, Eden will be able to recalculate the freshness factor and re-route the shipment immediately. The bananas end up in a closer store to optimize freshness, consumers take home a delicious bunch, and everyone is happy.

Eden also helps eliminate food waste. Our goal is to eliminate $2 billion in waste over the next five years. Already, Eden is being used in 43 distribution centers and has prevented $86 million in waste from happening.

What was once a manual inspection process is now more efficient and thorough than ever.”
Original source: Eden: The Tech That’s Bringing Fresher Groceries to You

Link: A look inside American Family Insurance’s digital transformation office

“More specifically, our definition will include leveraging technologies, such as AI, machine learning or robotic process automation, but it’s really about data and how we’ll utilize it. Like most insurers, we have decades of outcome data. Now, with evolving capabilities, the availability of new data sources and advances in analytical modeling, we can marry historical data with real-time data to create something more powerful. The ultimate goal is establishing new ways of working that are more data-driven in order to become more proactive and valued in our customers’ lives.”
Original source: A look inside American Family Insurance’s digital transformation office

Link: Almost half of CIOs plan to deploy artificial intelligence enterprise solutions | ZDNet

“According to the CIO agenda survey, four percent of CIOs have already implemented AI in some fashion, but a further 46 percent have plans to follow suit. In addition, 20 percent of CIOs worldwide have pilot AI programs in the pipeline for implementation in the near future.” But, wait: “However, not every AI pilot will be a success. Gartner believes that up to 85 percent of projects will not deliver due to data bias, poor team management, or unsuitable algorithms.”
Original source: Almost half of CIOs plan to deploy artificial intelligence enterprise solutions | ZDNet

Link: The era of the cloud’s total dominance is drawing to a close – Life on the edge

A bit of an over-statement. What they want to say is “lots of new computing from IoT and pocket devices,” or something.

“many new applications have to act fast. According to some estimates, self-driving cars generate as much as 25 gigabytes per hour, nearly 30 times more than a high-definition video stream. Before so many data are uploaded, and driving instructions sent back, the vehicle may well already have hit that pedestrian suddenly crossing the street.”
Original source: The era of the cloud’s total dominance is drawing to a close – Life on the edge

Apple makes major podcast updates, tracking how much user’s actually listen

Apple said today that it will be using (anonymized) data from the app to show podcasters how many people are listening and where in the app people are stopping or skipping. This has the potential to dramatically change our perception of how many people really listen to a show, and how many people skip ads, as well as how long a podcast can run before people just give up.

Link

How Asset Managers Can Succeed with Advanced Analytics

A nice overview of what you’d use analytics fit in investing:

Armed with these advanced techniques, digitally forward asset managers can gain a significant information advantage over peers who rely mainly on traditional data sources and analytical practices. They can crunch through vast quantities of data; scour video and satellite imagery to gauge a retailer’s Black Friday prospects; extract insights from social media, texts, and e-mail to divine market sentiment; and parse a CEO’s comments during an earnings call to estimate the potential impact on the next quarter’s results. They can discern how unexpected weather disruptions might affect their portfolio, and even disprove long-held beliefs about how markets work. Smart, dynamic investment technology also helps managers assess their own performance to see whether they may be making the right decisions at the wrong times, buying too late, or listening to “influencers” who push them in the wrong direction.

There’s also a good overview of how to introduce new approaches like the above into the organization without it be Big Bang projects, likely to fail:

In experimenting with new technologies, firms should prioritize a small number of targeted initiatives that can deliver immediate tangible benefits in a focused, resource-­constrained way. In doing so, they should resist two temptations: the “esoteric science experiment,” whose focus is so narrow that the initiative can’t yield scalable results; and the “big bang rollout,” whose scope is so ambitious that it has a daunting price tag and takes too long to demonstrate value.

Source: How Asset Managers Can Succeed with Advanced Analytics