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In unpredictable times, a data strategy is key

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In unpredictable times, a data strategy is key


A worldwide survey of 357 business executives, conducted by MIT Technology Review Insights and Amazon Web Services, shows that organizations of all sizes and across industries understand how crucial it is to become data-driven. Most important, they’ve learned that a supportive and successful data strategy cannot be left to chance.

Data value is front and center

The past year and a half were disruptive to businesses across industries, due in large part to the pandemic. The initial shutdowns in March 2020 meant that many companies had to turn on a dime to arrange for an all-remote workforce while also keeping up with wild shifts in consumer behavior and market demand.

The good news is, even during an unprecedented crisis, a large number of organizations continued to grow. In fact, nearly half of the survey respondents (45%) characterize their companies as “thrivers,” saying they boosted business growth over the past 18 months.

But, not surprisingly after such a challenging period, many other organizations could do little more than hold steady or try to hang on: the remaining 55% of those surveyed managed to maintain their efforts, conducting their usual level of business, or simply didn’t shut down.

Yet, whether organizations are thriving, maintaining, or just surviving, there’s no doubt that the power of data is top-of-mind for all businesses looking to succeed. In today’s digital world, companies gather or have access to vast amounts of data. Thanks to technologies such as cloud computing, analytics, and artificial intelligence (AI), they can also store, process, analyze, and put this treasure trove of data to use, in a meaningful way, to boost business outcomes.

As a result, there are many possibilities to gain business value from large data sets. According to the survey, the most common value companies are hoping to take advantage of is smarter decision-making (79%). They also want to more deeply understand their customers and industry trends (61%), provide better services and products (42%), and implement more efficient internal operations (33%).

Companies also learned valuable lessons about the importance of data as they struggled to stay competitive during the pandemic. Roughly four out of 10 survey respondents, for example, report that they need to look at more sources of data, including demographic, geospatial, and competitor information. More than a third (37%) are evaluating machine learning and analytics—technologies essential to extract critical insights from their data. And 34% need help acting on the vast sums of data they gather and process.

For Thermo Fisher Scientific, a US biotechnology company with more than 80,000 employees in 50 countries, thriving in today’s competitive life-sciences landscape is all about helping customers accelerate research, solve complex analytical challenges, improve patient diagnostics, and increase laboratory productivity. Through a scalable and secure platform on which researchers and scientists can collaborate, conduct research, and improve medical treatments, “we help our customers make the world healthier, cleaner, and safer,” says Mikael Graindorge, senior manager of commercial analytics and insight at Thermo Fisher. The company wants to provide the best service and products as well as the best ways for customers to efficiently complete their scientific research, he explains. “But to do that, we need more and more data, which means more complexity, so we need to expand our data science investment to continuously innovate for our customers.”

Data strategy is fundamental 

These days, becoming data-driven is within the reach of every organization, says Ishit Vachhrajani, enterprise strategist at cloud provider Amazon Web Services. But it doesn’t happen overnight: having a sound data strategy, he says, is fundamental to support better decision-making and drive growth. 

“Data strategy is table stakes in today’s world,” Vachhrajani says. “You can see the distance between companies that are moving fast and driving change on the journey towards a successful data strategy versus the companies that are lagging behind.” 

Download the full report.

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Audio Postcard: Real-time farming

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Audio Postcard: Real-time farming


Pinot Grigio actually makes a white wine and it’s won a few varieties in California that, uh, is a pretty common variety that actually we make purple grapes that make a white wine. So my name is Dirk Heuvel and I’m the VP of vineyard operations here at McManis family vineyards. 

My family actually kind of set roots here, actually farming almonds. And some people say almonds, we say in Ripon, and we say, say, almonds. 

I feel like, if it was like my dad or my grandpa trying to adopt this technology, absolutely. I think there’d be a huge culture shock there for them. I still think they don’t quite understand it, but they’re seeing the results of it. So I think that’s the most important thing—that we’re able to show them that it is working and how it’s working for us.

I will say today, I feel that we’re growing better quality grapes than we were 30 years ago. Just adapting a lot of this aerial imagery, modern irrigation technology, running drip system technology, you know, being able to fertilize through drip systems. And you can actually look at the imaging on your phone and you can actually pinpoint go out and walk to a specific vine. You know, that might be a   vine that died, that shows up on the aerial imaging. You can use the technology and, and walk right into a specific area. Just being able to identify areas, you know, using GPS. We can have field checkers go through the field now and on their app, they’re able to actually drop and pinpoint where we might have mite issues where we might have, you know, leafhopper issues, areas that need to get treated. And that actually allows us to go through and just cite specific treat. Instead of treating an entire vineyard block, we’re able to just treat specific areas.

Jennifer: It was only what like five, seven years ago, it was half of farm workers weren’t using smartphones. 

Dirk Heuvel: Yeah. 

Jennifer: So, if people are dropping pins that’s…

Dirk Heuvel: Yeah. You know, 30 years ago, in order to make a phone call, you’d have to drive in a, in a town or go to your house to call your irrigator to do stuff. And now it’s, this is almost, it’s like real time farming. Now we can make decisions on the fly. And one of the big advantages to using variable rate applications is that you’re only applying the amount of nutrients or amendments that are needed for a specific area. So before we adapted this variable rate technology, we would drive down a row and we would put a consistent amount of amendments, whether it be gypsum, lime, soil, sulfur, we would apply that amount evenly throughout the entire vineyard block. Now we realize going through and using this variable rate technology is that we might cut the, the amendments that are needed by 20 to 30% on a specific vineyard block, just by applying the correct amounts of nutrients where they’re needed and not overlying where they’re not needed 

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The Download: dual-driving AI, and Russia’s Telegram propaganda

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🧠


This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

This startup’s AI is smart enough to drive different types of vehicles

The news: Wayve, a driverless-car startup based in London, has made a machine-learning model that can drive two different types of vehicle: a passenger car and a delivery van. It is the first time the same AI driver has learned to drive multiple vehicles.

Why it matters: While robotaxis have made it to a handful of streets in Phoenix and San Francisco, their success has been limited. Wayve is part of a new generation of startups ditching the traditional robotics mindset—where driverless cars rely on super-detailed 3D maps and modules for sensing and planning. Instead, these startups rely entirely on AI to drive the vehicles.

What’s next: The advance suggests that Wayve’s approach to autonomous vehicles, in which a deep-learning model is trained to drive from scratch, could help it scale up faster than its leading rivals. Read the full story.

—Will Douglas Heaven

Russia’s battle to convince people to join its war is being waged on Telegram

Putin’s propaganda: When Vladimir Putin declared the partial call-up of military reservists on September 21, in a desperate effort to try to turn his long and brutal war in Ukraine in Russia’s favor, he kicked off another, parallel battle: one to convince the Russian people of the merits and risks of conscription. And this one is being fought on the encrypted messaging service Telegram.

Opposing forces: Following the announcement, pro-Kremlin Telegram channels began to line up dutifully behind Putin’s plans, eager to promote the idea that the war he is waging is just and winnable.  But whether this vein of propaganda is working is far from certain. For all the work the government is doing to try to control the narrative, there’s a vibrant opposition on the same platform working to undermine it—and offering support for those seeking to dodge the draft. Read the full story.

—Chris Stokel-Walker

NASA’s DART mission is on track to crash into an asteroid today

NASA’s Double Asteroid Redirection Test spacecraft, or DART, is on course to collide with the asteroid Dimorphos at 7.14pm ET today. Though Dimorphos is not about to collide with Earth, DART is intended to demonstrate the ability to deflect an asteroid like it that is headed our way, should one ever be discovered.

Read more about the DART mission, and how the crash is likely to play out.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 The US says Russia will face catastrophe if it uses nuclear weapons
It’s hard to know whether Putin’s threat is a bluff—or deadly serious. (The Guardian)
+ Ukrainian president Volodymyr Zelensky thinks it is very real. (CNBC)
+ What is the risk of a nuclear accident in Ukraine? (MIT Technology Review)

2 YouTube wants to lure creators away from TikTok with cash
But it won’t say how much. (MIT Technology Review)

3 Germany’s zero-tolerance for hate speech is a double-edged sword
While the threat of fines disincentivizes some perpetrators, activists worry that too many people are being targeted. (NYT $)
+ Misinformation is already shaping US voters’ decisions ahead of November’s midterms. (NYT $)

4 Why even the largest companies are vulnerable to hacking
A zero-trust approach is helpful, but will only take you so far. (WSJ $)
+ Hackers can disrupt image-recognition systems using radio waves. (New Scientist $)
+ Microsoft is optimistic that AI can root out bad actors. (Bloomberg $)
+ The hacking industry faces the end of an era. (MIT Technology Review)

5 NASA’s Artemis moon mission has been delayed again
Due to tropical storm Ian. (BBC)
+ Saudi Arabia wants to send its first female astronaut into space. (Insider $)

6 Fighting climate change extends beyond kicking corporations
A more nuanced approach could be required to speed up the transition to cleaner energy. (The Atlantic $)
+ Global wildfires mean that snow is melting quicker than usual. (Slate $)
+ Disaster insurance is increasingly tricky to navigate. (Knowable Magazine)
+ Carbon removal hype is becoming a dangerous distraction. (MIT Technology Review)

7 Crypto’s fired workers don’t know what to do next
But plenty of them haven’t let their experiences put them off the sector. (The Information $)
+ Interpol has issued a red notice for Terraform Labs’ co-founder Do Kwon. (Bloomberg $) 

8 The Danish city that banned Google
The tech giant’s handling of children’s data wasn’t properly assessed. (Wired $)
+ Google says it’s unwilling to pitch it to fund network costs in Europe. (Reuters)

9 Why neuroscience is making a comeback
Some experts are convinced that making neurology and psychiatry departments work closer together is long overdue. (Economist $)

10 How plant-based meat fell out of fashion 🍔
Evangelists are convinced the nascent industry is merely experiencing teething problems. (The Guardian)
+ Your first lab-grown burger is coming soon—and it’ll be “blended”. (MIT Technology Review)

Quote of the day

“There’s definitely the boys’ club that still exists.”

—Taryn Langer, founder of public relations firm Moxie Communications Group, tells the New York Times about her frustrations at the sexist state of the tech industry.

The big story

The quest to learn if our brain’s mutations affect mental health

August 2021

Scientists have struggled in their search for specific genes behind most brain disorders, including autism and Alzheimer’s disease. Unlike problems with some other parts of our body, the vast majority of brain disorder presentations are not linked to an identifiable gene.

But a University of California, San Diego study published in 2001 suggested a different path. What if it wasn’t a single faulty gene—or even a series of genes—that always caused cognitive issues? What if it could be the genetic differences between cells? 

The explanation had seemed far-fetched, but more researchers have begun to take it seriously. Scientists already knew that the 85 billion to 100 billion neurons in your brain work to some extent in concert—but what they want to know is whether there is a risk when some of those cells might be singing a different genetic tune. Read the full story.

—Roxanne Khamsi

We can still have nice things

A place for comfort, fun and distraction in these weird times. (Got any ideas? Drop me a line or tweet ’em at me.)

+ Some gadgets are definitely more useful than others.
+ Calling all cat lovers! This potted history of mischievous felines in French painter Alexandre-François Desportes’ work is heartwarming stuff (thanks Melissa!)
+ A useful guide to working out what you really want from life
+ A Ukrainian startup is reportedly planning to use AI to clone the iconic voice of James Earl Jones, aka Darth Vader. 
+ The rumors are true—butter really is having a moment.



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This startup’s AI is smart enough to drive different types of vehicles

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This startup’s AI is smart enough to drive different types of vehicles


Jay Gierak at Ghost, which is based in Mountain View, California, is impressed by Wayve’s demonstrations and agrees with the company’s overall viewpoint. “The robotics approach is not the right way to do this,” says Gierak.

But he’s not sold on Wayve’s total commitment to deep learning. Instead of a single large model, Ghost trains many hundreds of smaller models, each with a specialism. It then hand codes simple rules that tell the self-driving system which models to use in which situations. (Ghost’s approach is similar to that taken by another AV2.0 firm, Autobrains, based in Israel. But Autobrains uses yet another layer of neural networks to learn the rules.)

According to Volkmar Uhlig, Ghost’s co-founder and CTO, splitting the AI into many smaller pieces, each with specific functions, makes it easier to establish that an autonomous vehicle is safe. “At some point, something will happen,” he says. “And a judge will ask you to point to the code that says: ‘If there’s a person in front of you, you have to brake.’ That piece of code needs to exist.” The code can still be learned, but in a large model like Wayve’s it would be hard to find, says Uhlig.

Still, the two companies are chasing complementary goals: Ghost wants to make consumer vehicles that can drive themselves on freeways; Wayve wants to be the first company to put driverless cars in 100 cities. Wayve is now working with UK grocery giants Asda and Ocado, collecting data from their urban delivery vehicles.

Yet, by many measures, both firms are far behind the market leaders. Cruise and Waymo have racked up hundreds of hours of driving without a human in their cars and already offer robotaxi services to the public in a small number of locations.

“I don’t want to diminish the scale of the challenge ahead of us,” says Hawke. “The AV industry teaches you humility.”

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