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To digitally transform, think like Clive Davis

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By: Ben Pring

If you’re a music fan, you probably know the name Clive Davis. If you’re not though – and heaven help you – Clive Davis is one of the most successful music producers and record industry executives of all time. He’s worked with a who’s who of rock and pop musicians, from Janis Joplin to Rod Stewart to Whitney Houston, over the last 50 years. Now 85, he’s still in the game as the chief creative officer of Sony Music Entertainment. By any measure of success and longevity in what is, after all, an extremely precarious and fickle business, Davis has earned his place in the Rock and Roll Hall of Fame.

What, you may be wondering though, does the archetypal A&R man have to do with “digital transformation?” Well, let me explain …

The “digital” alarm bell has been going off (literally and figuratively) now for over 20 years. The transition to the cloud, the slow decline of ERP, the rise of Google and Apple and Amazon, the primacy of “consumer IT,” the move to Agile and containers, the awakening to the power of data, the importance of design thinking – none of these are new. And yet, in the second half of 2017, many, many organizations still struggle to master them, let alone leverage them, to thrive in markets changing all around them faster than ever.

Related: Designing Manufacturing’s Digital Future

The question is, why? In my humble opinion, it’s because the executives running these organizations don’t think like Clive Davis.

It’s Not About You

Clive Davis’s success can be attributed, in no small measure, to his ability to separate his own personal tastes from those of the market. As an octogenarian, Davis probably favors Frank Sinatra or Tony Bennett when he’s doing the dishes or mowing the lawn (as if). But when he’s working, he’s listening like an 18-year-old and can hear the magic in Lil Uzi Vert or Rex Orange County – music that to his contemporaries must sound like the aural equivalent of a dislocated shoulder. Or at least the decline and fall of Western civilization.

Davis recognizes that he is not the target audience, that the music is not aimed at him and has nothing to say to him. He knows he wouldn’t buy the music. But yet, he can still make judgments about its quality and its commercial appeal. And he can do this precisely because he knows the music isn’t being made for him.

[Download]: Designing Manufacturing’s Digital Future

This is the mistake that is hampering so many executives in so many businesses facing the onslaught of change being rendered by digital technology. They don’t personally like the new generation of technology and technology mediated solutions, and they don’t appreciate that the new technology/solutions aren’t aimed at them.

Twitter is ridiculous. Facebook is for egotistical blowhards. What even is Snap? Why do my kids spend so much time on it? Social media is destroying a generation. We can’t do this transaction online because of the threat of hackers. Pokémon Go? Give me a break. Virtual reality? What are these guys on? The cloud? But we’ve got a data center. Monetize our customer’s data? Why? Isn’t that illegal? How does this Slack thing even work? What’s wrong with e-mail?

How to Love What You Don’t Love

To the average 50-year-old, running an insurance company, a bank, an airline, a retailer, contemporary technology, contemporary business approaches and contemporary norms are the commercial equivalent of Lil Uzi Vert – terrible, ugly, ridiculous, not nearly as good as the things we listened to, aka, the technology solutions we built and used.

These executives fail to see they are not the target audience. That new solutions shouldn’t be built for their contemporaries but for their kids. They fail to separate their own personal tastes from the tastes of where the market is going.

Doing this – separating your own personal judgments from those of the market – is terribly hard (hence why so few executives can do it). It’s tough for people who have ascended slippery career ladders to admit they don’t know something. It’s tough for them to even contemplate that they are “aging out,” that they are no longer “hip to the hop,” in touch, on fleek. But mostly, it’s hard to admit – privately to yourself, let alone publically to your staff/boss/board – that you’re no longer that interested in something and that you don’t really like X or Y.

[Download]: Designing Manufacturing’s Digital Future

To truly grasp the promise of the Fourth Industrial Revolution, you’ve got to really love it, and everything about it. Or, if you can’t, you’ve got to surround yourself with people who do. In Clive Davis’s case, this means A&R people who trawl the clubs and SoundCloud and YouTube and Spotify and SXSW. In your case, it could be a youth mentor or a digital whisperer you trust in the industry.

So next time you’re in a meeting with your team trying to inch forward with your digital transformation initiative, remember to think like Clive Davis. It’s not about you – it’s about the next generation and the stupid things they’re interested in. Play your Sinatra or Costello or Counting Crows tunes all you like at home. But don’t pretend that, now that you have the turntable (aka the digital transformation budget), the kids are going to dig what you all say. They ain’t lit with that.

This article originally appeared on the Cognizant Center for the Future of Work site.

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Manufacturing

What you need to know if you’re attending MWC Los Angeles 2019

MWC Los Angeles 2019 is one of the newest and fastest growing events in the U.S. that brings together leading companies and influential experts from all sectors within the mobile technology industry to advance Intelligent Connectivity – a fusion of 5G, IoT, AI and Big Data.

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MWC Los Angeles 2019 is one of the newest and fastest growing events in the U.S. that brings together leading companies and influential experts from all sectors within the mobile technology industry to advance Intelligent Connectivity – a fusion of 5G, IoT, AI and Big Data.

The event is an opportunity to discover how leaders like Cognizant are looking into the future of connections, content and commerce.

To help you prepare, here is a selection of articles, case studies, ebooks, and clips from Cognizant, discussing digital transformation:

  • Learn Cognizant’s 4 key success factors to Industry 4.0 transformation. For starters, lead with strategy, not the technology. Watch the video here.
  • AI, Machine Learning, and IoT are ensuring the efficacy and efficiency of one of the most demanding engineering projects in the world. Learn how Cognizant helped Norwegian offshore engineering firm Kvaerner adopt these digital technologies.
  • The promise of Industry 4.0 is compelling, but for many traditional manufacturers, the reality is less than ideal. In this new Cognizant report, find examples of manufacturers that are navigating the shift.
  • It’s all about speed: Insight from Cognizant on how 5G will transform the business sector and create a leadership race for data intelligence.
  • Not all smart factories are created equal: Cognizant takes stock of the state of IoT intelligence, and what industrial organizations need to ensure both digital maturity and success. Read more here.
  • The many touchpoints of IoT connectivity allows AI to really shine, and prove its value to manufacturers in the form of proactive preventive maintenance, says James Jeude, VP in Cognizant’s Digital AI & Analytics Strategic Consulting Group, in this piece.
  • The human factor in IoT intelligence is key: Connected employees can “dynamically manage situations as they change,” explains Cognizant’s AVP of engineering and IOT solutions Phanibhushan Sistu.
  • The leap to IoT is a necessary one for your organization. This Cognizant ebook looks at 14 such businesses that jumped confidently into the digital future.
  • It took less than 12 weeks for Cognizant to implement an IIoT platform for a leading global industrial manufacturer. Get the case study here.
  • Without the duo of IoT and the Digital Twin, your organization is living in a black-and-white outlined world, in terms of operational intelligence. Color it in, get more accurate predictions, and fully realize potential.

One session to highlight? “5G and IoT – Understanding the Relevance to Your Business,” featuring Senior Director, Cognizant Digital Business, Prashanth Bhushan. This session will examine how the impending mass availability of 5G networks is set to mark a major step forward in extending 5G applications to various vertical industries and fields beyond traditional telecom and mobile internet.

MWC Los Angeles 2019 takes place October 22-24, at the Los Angeles Convention Center. 

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Manufacturing

IoT + PLM = Product Intelligence: An equation that delivers monetization opportunities

In the equation IoT + X = Intelligence, what role does product lifecycle management play as the X factor?

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Consumers are fickle. 

Today’s hot must-have can easily fade into obscurity tomorrow. Most products don’t even make it out to the playing field, and instead languish on the sidelines. The B2B world is not much different. Thanks to the Internet of Things (IoT) however, manufacturers are gaining a better peek at the product lifecycle beyond their distribution warehouse and leveraging that intelligence to their advantage.

Case Study: Advancing Smart Manufacturing Operations Value with Industry 4.0 Platform

PLM matters

More often than not, manufacturers make educated guesses at what consumers want. Sure they rely on surveys and calibrated focus groups but too often they’re still skating on thin ice with data snapshots. Product manufacturers rely on past sales records, future trend forecasts and hope design comes up with a nifty new gadget. They then execute strategic marketing and finally keep fingers crossed for best outcomes. 

The problem with such an iterative pattern is that the process is more or less opaque once the product leaves the manufacturer. Today’s product lifecycle management delivers much-needed transparency to the trail a product follows not just from concept and design and sales but on to how the consumer actually uses and disposes of it. 

And it does so through IoT. An IoT-embedded device relays product information to the mothership long after it has left the point of sale so manufacturers can gain insight into usage patterns and other data. While PLM has always followed the trail of breadcrumbs that products leave, IoT now allows for a longer and more useful trail. 

[Download]: A New Approach to PLM

IoT + PLM

“With IoT live product feedback has become possible. The [data] gap that existed between when we have sold a product and when someone discards that product…that gap has now been connected by IoT,” says Jagmeet Singh, Director, Connected Products, at Cognizant. 

Businesses use cloud technologies to analyze the data that IoT-embedded products spit out and reap a whole host of benefits. Manufacturers access instant feedback about feature design – in an age of user-centered design, this is a big deal – and price points. Product design now needs fewer reboots and manufacturers can produce with more confidence.

The introduction of IoT and associated data analytics expanded the use of Product Data as a Service (PDaaS), where larger sets of metadata about products are now available to be harvested, right from raw materials used, to manufacturing processes to quality control and beyond.

Simply by following the IoT trail (and obtaining all-important user permission), manufacturers can monetize information about product usage to secondary vendors who might benefit from related information. A computer manufacturer, for example, can sell valuable information about the heat exchanger, the battery, the Bluetooth connection to satellite providers who can use this as intelligence for their own sales and marketing promotions.

IoT breathes new life into PLM extending the line beyond the four walls of the warehouse to the real world where live data from every user shapes future product iterations.

IoT + PLM = Customer intelligence. With sharper data based on usage patterns, manufacturers can anticipate customer needs better and deliver they want. The result is more revenue and less waste. IoT lets PLM realize its full potential.

[Download]: Advancing Smart Manufacturing Operations Value with Industry 4.0

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Manufacturing

IoT + Big Data Analytics = Operations Intelligence: An equation that draws a better picture

In the equation IoT + X = Operations Intelligence, what role does big data analytics play as the X factor?

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Global pressures to decrease energy consumption and the speed of business are accelerating the call for new ways of delivering efficiencies. 

What if a fridge could tell us that the food it stores was going to spoil in a day? What if buildings could cut down heating costs by selectively turning down the heat depending on occupancy? For a fridge to “talk” in this way, it would need a way of measuring the parameters that indicate data spoilage. The Internet of Things (IoT) delivers just that.

Case Study: Advancing Smart Manufacturing Operations Value with Industry 4.0 Platform

With IoT, everyday “things” such as refrigerators, machines, warehouses, televisions, washing machines, broadcast data about their health through outfitted chips and sensors. So large is this data deluge, that the IoT market is expected to grow at an astonishing 24.7% and reach $1111.3 billion by 2026.

Big data analytics

We need big data analytics to harvest this torrent of IoT information in useful ways. Simply spitting out data is not enough, big data analytics help companies make sense of the data and thereby deliver intelligence.

The classic definition of big data is that it presents in three “Vs”: large volumes, variety and high velocity. So the concept of big data is not new, even if this set of parameters has evolved since the early 2000s when it first took root. The introduction of IoT, however, has increased the number of sources which contribute to the data dialog. Whether or not these data points contribute to a symphony or merely create a cacophony depends on data analytics.

Case Study: Advancing Smart Manufacturing Operations Value with Industry 4.0 Platform

“Big data provides context to a world in which IoT is working,” says James Jeude, Vice-President and Practice Leader of Cognizant’s Digital AI & Analytics Strategic Initiatives Group. “As an industry we have solved the volume problem [of big data], where today’s big data really matters is that it delivers on variety. It is variety that really matters [for intelligence] at this point.” 

Take the example of a refrigerator in a grocery store. To know when the compressor is about to break, the store can measure both the refrigerator temperature and the current input. The higher the electric current flowing to a refrigerator to maintain the same temperature, the more likely it is to fail. These two indicators might be the canary in the coal mine but IoT and Big Data allow a variety of additional efficiencies. Measuring the gases emitted by the food can be a window into when the food might spoil; measuring outside temperature and humidity might tell us acceleration patterns of food spoilage. The number of times a grocery store refrigerator is opened and closed is also a useful parameter to measure.

Case Study: Advancing Smart Manufacturing Operations Value with Industry 4.0 Platform

The promise of big data analytics is that it allows a whole new range of IoT variables to participate in the conversation. 

IoT facilitates information gathering from more sources so everyone who contributes to a situation gets a hand at the table. Data analytics leverages this IoT data to deliver a more comprehensive picture of the situation. The net analysis is more nuanced and more valuable. Indeed IoT + Big Data Analytics = Valuable Intelligence. 

With IoT and big data analytics, you no longer  have to picture an elephant by merely touching its ears and tail. You can now access more touchpoints to visualize the whole animal.

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1 download. 14 Case Studies.

Download this report to learn how 14 companies across industries are demonstrating the reality of IoT-at-scale and generating actionable intelligence.

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