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Seeing robots and digital advancements through someone else’s eyes

When they run the highlight reel of my greatest dad moments, this weekend’s dinner conversation with my kids will definitely be left out.

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By Randal Kenworthy

When they run the highlight reel of my greatest dad moments, this weekend’s dinner conversation with my kids will definitely be left out – the look of terror in their eyes, the curious and confused look of my wife that said it all: “What are you thinking?!”  At that moment, I realized the future of robots, AI and the latest digital technology can be a scary concept – if poorly explained.

It started nicely enough, talking about how Mother Nature and natural selection are things of beauty. But I strayed a little off topic when I explained that in the not-so-distant future, parents could apply emerging technologies to design their babies – and that this was not necessarily a good thing.  When asked why, I described a future where all babies were basically all programmed preconception, and eventually we would all look like engineered humans – not unlike robots.  That’s when the tears started.

My 10-year-old daughter provided me with an escape hatch when she asked, “Are we all going to become robots?” At that point, I channeled my inner Malcolm Frank (a top Cognizant exec and co-author of Code Halos and What to Do When Machines Do Everything) to help address her fear.  I explained that robots were actually a good thing – that they weren’t going to actually replace us but rather supplement our day-to-day activities.  We talked about examples like autonomous cars.  She built on my point that not only will self-driving cars enable us to do higher-value activities but they’ll also make driving a lot safer.

[Read more: The State of the Union for IoT Intelligence]

Personalizing the Pursuit of Digitally-Enabled Productivity

This dinnertime exchange sums up what those of us at the intersection of business and technology deal with every day, whether we know it or not. Because not everyone is comfortable with advances in digital technologies, it’s essential to explain the value of technology in personal terms.  The work we do is often complicated and technical, but when you peek under the covers at the value organizations are achieving, even a 10-year-old would nod in approval.

By telling compelling stories about demonstrated business results, our industry can make the latest digital tools and techniques a lot less scary for the people who need to invest in and implement them. Consider:

  • Product intelligence: By integrating data and applying intelligent algorithms, we helped a multinational consumer goods company create a 360-degree, omnichannel product view.  Doing so helped increase customer conversations by 15%, significantly improve customer satisfaction and boost agility of global product launches by 40%.
  • Connected factories: We also worked with a global pharmaceutical company to build a predictive maintenance model for its distributed and connected manufacturing plants. This capability harmonized processes across multiple systems and provided visibility into potential process interruptions. By reducing downtime, the business realized a 20% increase in throughput while increasing safety, enabling patients to get their medications more quickly.
  • Intelligent process automation: We used machine learning models to help a global insurance provider expedite its worker’s compensation claims process. The solution determines bodily injury information with 90% accuracy, aided by human validation. It’s also integrated with existing robotic process automation (RPA) tools to navigate multiple mainframe and web applications and apply hundreds of business rules to enable timely and accurate registration of claims. The business has achieved greater claims accuracy and accelerated claims processing, enabling workers to get the money they need to achieve a speedy recovery and return to work, which improves productivity.

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

The ABCs of Clear Communication

We can all benefit from remembering some basic talking points when we engage in discussions about AI, machine learning and other digital technologies – whether it’s with our business peers and colleagues or our families. In short:

  • Keep it simple: Speak in plain terms.
  • Tell stories: Use examples and stories to explain a topic and gain alignment.
  • Stay practical: Business people often talk about technology in mythical proportions. Be pragmatic about what technology can do; avoid pie-in-the sky illustrations.
  • Don’t assume: This is a two-way street. Your own assumptions may need validation, and don’t assume your listener knows what DevOps means.
  • Repeat as needed: Technology can be complex, so repetition can help ensure that complex concepts are truly understood.
  • Break down an explanation: The human mind can better understand when information is provided in manageable, logical buckets. Minto’s Pyramid Principle is built on the concept of chunking information in manageable pieces.  The same applies here.  Take a message and break it into logical components.

With all that AI and other digital technologies have to offer, it’s essential for those with insights into its potential to diminish the fear, uncertainty and doubt that often accompanies the topic – rather than inadvertently emphasizing it. Believe me – that’s what I’ll remember the next time I bring up current events at the dinner table.

[Download]: Designing Manufacturing’s Digital Future

Cognizant
Author: Cognizant

Cognizant (Nasdaq: CTSH) is dedicated to helping the world's leading companies build stronger businesses — helping them go from doing digital to being digital.

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Manufacturing

Manufacturers are recognizing the need to find new efficiencies

Recent data from Oden Technologies shows that 94% of manufacturers have seen significant changes in demand.

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“The challenges facing the manufacturing industry seem to be never-ending.” 

So begins the introduction to The State of Manufacturing: CEO Insights, the new report by Willem Sundblad, co-founder and CEO of intelligent industrial automation company Oden Technologies.

This year, of course, is no exception. “As we enter a period of economic uncertainty, manufacturers are recognizing the need to find new efficiencies and ultimately make more with less,” Sundblad continues.

Featuring both data analysis and insights from industry experts, Sundblad’s report examines current challenges in manufacturing, takes a look at the future, and reflects on the state of digital transformation in the sector.

Challenges facing manufacturing

One of the key findings is that 94% of manufacturers have seen significant changes in demand. Production schedules have no-doubt shifted in the short term, and these companies are “leveraging new technologies to streamline production and maximize capacity.” 

Manufacturers are also feeling the pressure of market uncertainty, as well as making profitability sustainable for the long term.


“Lean startup mentality and incremental growth with a return to fundamentals are crucial in battling through a changing marketplace as well as tsunami-like risks,” said David Rosen, CEO and founder of Kira Labs.  

Looking ahead

When looking to the future — an uncertain one that has been drastically altered by COVID-19 — the report identifies three main areas of focus for manufacturers:

  1. Optimizing production processes
  2. Improving workforce effectiveness
  3. Decentralizing the supply chain

How will they approach these? According to the numbers, 63% of manufacturers say “enabling more remote employees through digital technologies will be an outcome of the pandemic.” Another big focus? Cross-training and streamlining.

“Digital transformation will drive new processes and business models as manufacturers look toward the future,” explained Joe Morgan, founder & CEO of siY. “On the supply chain side, we will likely see a trend toward less globalized supply chains and more focus on local sourcing.”

DX in manufacturing

As we’ve previously reported (here, here, and here), COVID-19 has added major fuel to the digital transformation fire of organizations. And manufacturing is no different. 71% of respondents saying the pandemic has accelerated their DX journeys. 86% report having a designated DX leader — which is great, considering the critical importance of strong leadership to transformational efforts.  

“Embracing these new systems are all indicators that technology continues to be a space that has untapped opportunity for growth,” said Julie Copeland, CEO of Arbill. “I think that manufacturers will also investigate other emerging technology, including finding ways to utilize augmented reality.”

DX Journal Staff
Author: DX Journal Staff

DX Journal covers the impact of digital transformation (DX) initiatives worldwide across multiple industries.

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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. 

DX Journal Staff
Author: DX Journal Staff

DX Journal covers the impact of digital transformation (DX) initiatives worldwide across multiple industries.

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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

DX Journal Staff
Author: DX Journal Staff

DX Journal covers the impact of digital transformation (DX) initiatives worldwide across multiple industries.

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