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.
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.
“The challenges facing the manufacturing industry seem to be never-ending.”
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.
“Profitability has always been top of mind for manufacturers, but now the stakes are higher. The disruptions over the past few months have led executives to look for new ways to reduce operational costs and increase contribution margins.” – Willem Sundblad https://t.co/zCR6tA9NL0 pic.twitter.com/a1s41hSNwF
— Oden Technologies (@oden_tech) August 6, 2020
“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.
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:
- Optimizing production processes
- Improving workforce effectiveness
- 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.”
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?
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.
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.
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.
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?
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.
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.
“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.
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.
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.
Leadership6 months ago
Digitized and digital: Two sides of the digital transformation coin
Investment2 months ago
4 ways to plan for the post-pandemic normal
Technology3 months ago
Five key trends shaping the application landscape
Talent6 months ago
58% of enterprises struggle to find talent with the right DevOps skills
Leadership5 months ago
Organizational change expert says leaders should expect a new normal