🗂 Link: IDC Survey Finds Artificial Intelligence to be a Priority for Organizations But Few Have Implemented an Enterprise-Wide Strategy

An IDC “survey of global organizations that are already using artificial intelligence (AI) solutions found only 25% have developed an enterprise-wide AI strategy.”

But:

“More than 60% of organizations reported changes in their business model in association with their AI adoption.”

Source: IDC Survey Finds Artificial Intelligence to be a Priority for Organizations But Few Have Implemented an Enterprise-Wide Strategy

Link: Is CX the new killer app for ERP vendors? I seriously doubt it

All these analytics are nonsense if you don’t actually act on them, especially when it comes to customer service:

I’ve filled out countless product registration/warranty cards over the years and only recently has one manufacturer ever reached out to me. Sadly, that outreach was a blatant money grab to sell me an extended warranty and new filters for my refrigerator. That’s not CX, that’s salesforce automation (SFA).

Think about it. Did any manufacturer thank me for my purchase? Did they ever check in on me to see how I liked the performance, reliability, usability, etc. of the appliance? Did they ever try to get an advantage when I was in the market for newer appliances? Nope. They didn’t care about the customer experience as their interest faded away once the product sale occurred. Great CX isn’t needed in companies where amnesia kicks immediately after the sale.
Original source: Is CX the new killer app for ERP vendors? I seriously doubt it

Link: HSBC chief architect: Why machine learning is accelerating cloud adoption

If you build it, you own it, big data ed.:

“We got some value out of that but to be honest we found it hard to keep on top of, just hard to build skills at the pace required to integrate new technologies,” Knott says.

“No matter how hard we ran there is always something new coming in that we wanted to get access to, but we couldn’t get there quite fast enough to have really finished deploying what we were deploying previously.

“So it was hard to manage, hard to keep on top of, and also hard to scale. We had reasonable success but we were having these challenges.””

Original source: HSBC chief architect: Why machine learning is accelerating cloud adoption

Link: Walmart pick Microsoft Azure for cloud

“Walmart plans to deploy Microsoft’s machine-learning, artificial-intelligence and other services to help employees, for example, pick products that go on shelves and optimize the performance of freezers and other equipment. The retailer is aggressively cutting costs as it invests in growing sales online, and it is using tech to analyze its operations, an area of Amazon’s expertise.”
Original source: Walmart pick Microsoft Azure for cloud

Link: Walmart pick Microsoft Azure for cloud

“Walmart plans to deploy Microsoft’s machine-learning, artificial-intelligence and other services to help employees, for example, pick products that go on shelves and optimize the performance of freezers and other equipment. The retailer is aggressively cutting costs as it invests in growing sales online, and it is using tech to analyze its operations, an area of Amazon’s expertise.”
Original source: Walmart pick Microsoft Azure for cloud

Link: Walmart pick Microsoft Azure for cloud

“Walmart plans to deploy Microsoft’s machine-learning, artificial-intelligence and other services to help employees, for example, pick products that go on shelves and optimize the performance of freezers and other equipment. The retailer is aggressively cutting costs as it invests in growing sales online, and it is using tech to analyze its operations, an area of Amazon’s expertise.”
Original source: Walmart pick Microsoft Azure for cloud

Link: Walmart pick Microsoft Azure for cloud

“Walmart plans to deploy Microsoft’s machine-learning, artificial-intelligence and other services to help employees, for example, pick products that go on shelves and optimize the performance of freezers and other equipment. The retailer is aggressively cutting costs as it invests in growing sales online, and it is using tech to analyze its operations, an area of Amazon’s expertise.”
Original source: Walmart pick Microsoft Azure for cloud

Link: IT vendors slash prices in LatAm as users seek savings

“the uptake of offerings like cloud [$3.9bn market in LATAM] is still timid across the region. This is because businesses lack the revenue to make the shift to the cloud or do not have sufficiently skilled people to use them”
Original source: IT vendors slash prices in LatAm as users seek savings

Link: The Travel Industry’s Data Dilemma: Turning Insights into Action

“Further complicating matters, a large amount of customer data still lives in departmental silos, with sales, marketing, and customer service each supplying separate customer experiences. Those databases can easily grow stale or become inconsistent, since customer information owned by one department is often not shared with others. Keeping it up to date is an even more formidable task –– even a monthly update isn’t always frequent enough to keep up with the important life changes that can impact marketing decisions.”
Original source: The Travel Industry’s Data Dilemma: Turning Insights into Action

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: Gartner Survey Shows Organizations Are Slow to Advance in Data and Analytics

Still waiting for BI👉analytics👉big data👉AI/ML to hit the big time: “The global survey asked respondents to rate their orgs according to Gartner’s 5 levels of maturity for data & analytics…. 60% of respondents…rated themselves in the lowest 3 levels.”
Original source: Gartner Survey Shows Organizations Are Slow to Advance in Data and Analytics

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