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Live Product Innovation, Part 1: The Role Of In-Memory Computing

John McNiff

In Part 1 of this series, we look at how in-memory computing affects live product innovation. In Part 2, we’ll explore the impact of the Internet of Things (IoT) and Big Data.

In our previous series, we examined key drivers changing the way we use product data throughout the enterprise. Digitalization of customer experience, distributed manufacturing and engineering, and IoT and networked processes are transforming business processes and models. The proliferation of data – and the commoditization of technology to capture, store, share, analyze, predict, and learn from data – are enabling “live” product lifecycle management (PLM).

As a result, product data can no longer reside only in engineering systems. Instead, it must synchronize with and facilitate physical and digital twins throughout the product lifecycle. Ultimately, it must extend beyond PLM to manufacturing, cost management, order fulfillment, and service delivery. Likewise, the R&D process must leverage input from manufacturing, customer service, market trends, and more.

What makes this live product innovation possible? The answer is in-memory computing. Or I should say, the right in-memory computing, because not all in-memory platforms are created equal.

Greater volumes, greater speed

Described simply, in-memory computing processes data while the data resides in memory. This allows for orders-of-magnitude faster analysis of vast data volumes. But to extend PLM beyond R&D and engineering, in-memory platforms also must allow:

  • Real-time data access across enterprise domains, with no locking
  • Analytics directly on line-item-level data, without the need to extract to data warehouses
  • A massive reduction of data footprint – typically up to a factor of 10
  • Simplified coding through the removal of database aggregates

With these capabilities, data sets previously segmented because of volume and performance concerns can be left intact. That means data from manufacturing, maintenance, warranty, service, finance, CRM, and marketing can potentially be deployed in one architecture and analyzed in real time across functions.

It also means R&D and engineering can access previously untapped information sources in real time to support product decisions. They can achieve this without the need to pre-aggregate and assemble huge data warehouses, at least for relevant business data.

Other capabilities of an effective in-memory platform include:

  • Tight connection of manufacturing, supply chain, maintenance, and service data and processes
  • An open integration framework for cross-discipline authoring tools
  • The ability of 3D models to be part of the user interface (UI) across enterprise processes
  • The ability to manage complex integrations of CAD and authoring tools

Thanks for the in-memory

What are some outcomes of these capabilities? Product cost is increasingly important to understand early, because it dictates the profitability of a service-based contract. By leveraging the simulation and predictive capabilities of an effective in-memory platform – and by integrating business data from an EP environment – engineering can understand, simulate, and predict variations in design costs based on materials, routes, suppliers, and production techniques. It can achieve this in real time, either before the product is launched or during product redesign.

For project and program management, simulating the effect of a design initiative on an existing fleet of assets allows much better understanding of the impact on new and existing projects and programs. Will a new project delay a critical stage gate? Will a seemingly minor change in resource allocation require more labor at higher cost? These factors can significantly alter cost projections across a portfolio.

Finally, understanding system reliability in the field, as well as product quality throughout the manufacturing process, allows designers to correlate data from materials, suppliers, producers, and processes. It was extremely cumbersome to do this in the past.

All this might sound like powered-up analytics, and to some extent it is. But if you add integration of PLM, ERP, CRM, supplier relationship management (SRM), and enterprise asset management (EAM), you gain an incredible ability to rapidly move from insight to action. A common platform allows far more agile management of interactions across silos. And simplification of user interactions and the underlying data model allows massively accelerated process modifications, as well as solution development and extension.

Come to SAPPHIRE NOW 2017 in Orlando, Florida from May 16 – 18th, 2017, and check out my session “Boost Visibility into Operations for Connected Products with SAP Leonardo” on Tuesday, May 16th, 2017 from 1-1:40 p.m. in Business Application BA324, or check out our R&D sessions.

Follow the conversation on @SCMatSAP and #SAPPHIRENOW.

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John McNiff

About John McNiff

John McNiff is the Vice President of Solution Management for the R&D/Engineering line-of-business business unit at SAP. John has held a number of sales and business development roles at SAP, focused on the manufacturing and engineering topics.

BlockShow Europe 2017: A Look At Top Use Cases For Blockchain Technology

Jacqueline Prause

With people now looking beyond the banking industry for promising use cases built on blockchain technology, BlockShow Europe 2017 could not have come at a better time.

Held April 6-7 at the Alte Kongresshalle in Munich, Germany, the event attracted more than 560 people and featured 26 speakers, making it the largest international blockchain event in Europe to date. Organized by Cointelegraph in partnership with Nexussquared and BlockPay, BlockShow Europe provided ample opportunity for networking, knowledge sharing, and education.

The event attracted a mostly young, entrepreneurial crowd, many of whom were already working in established Bitcoin and blockchain startups. Innovation experts from the corporate sector were also on hand, as well as “explorers” who were just getting familiar with the technology. According to Cointelegraph, more than 200 individual networking meetings took place during the event.

Notable and quotable

Moderator Elizabeth Lumely, a leading expert on fintech solutions and managing director of Rainmaking, guided the program in a constructive exchange that offered information useful to both Bitcoin and blockchain people alike. She shared the results of a recent survey by Cointelegraph that asked: What is necessary for blockchain in the enterprise? Fifty-seven percent of respondents answered “security first for Bitcoin,” while 43% answered “smart contract Ethereum.”

Bitcoin entrepreneur Charlie Shrem presented the opening keynote, “The Current State of the Blockchain.” During his address, Shrem, founder of the Bitcoin Foundation and currently responsible for business development for cryptocurrency exchange Changelly, compared blockchain technology with the power of the printing press for its potential to remove corruption, power, and control from the hands of the few and put it back into the hands of the people. Shrem said, “The printing press gave people the ability to publish their own information very cheaply across borders around the world and distribute it in a decentralized way. Bitcoin is the printing press of our time. And blockchain technology is what’s powering that.”

Trust: the decisive factor

Panel discussions took on provocative hot topics like the challenges of blockchain implementation and initial coin offerings (ICOs) of cryptocurrencies. Panel experts agreed that blockchain technology is good for solving issues of trust, which they said seems to be the best measure for evaluating the promise of use cases. The blockchain community, however, is faced with challenges common to new technologies: lack of standardization; fee structure; interoperability between different blockchains; and absence of relevant legislation. One hurdle for new users of the technology may be a willingness to accept full responsibility for their data and use of the technology. As one panelist noted, there is no blockchain help line, for example, in the event that you lose your privacy key.

The banking industry was represented with a keynote from Daniel Drummer, vice president at JP Morgan, describing the blockchain-related projects underway at his company. In another keynote that resonated well with the audience, Milan Sallaba, partner at Deloitte, shared his organization’s insights and advice on how entrepreneurs can move from blockchain use cases to scalable production.

Use cases showcase breadth of new technology

Throughout the day, startups took to the main stage to present their blockchain use cases and business models. Here is a sampling of just a few.

  • Energy: The aim of SolarChange is to incentivize people and even developing nations to produce solar energy and sell it back into the grid. The blockchain billing mechanism allows people to track how much energy they are feeding into the grid.
  • Content distribution: DECENT provides a peer-to-peer content distribution network, without the absorbent fees associated with traditional publishing houses. Content on the network includes books, blogs, music, and video provided directly from the artist or author. DECENT’s Caesar testnet launched in March, and it plans to launch its mainnet in June.
  • Supply chain: Kouvala Innovation Oy, based in Finland, is using blockchain technology to enable an information backbone for the movement of goods Europe-wide – or the “Internet for Logistics” – so that every logistics company on the network can benefit from a new level of transparency into shipping activities. Test results with live data are expected at end of June.
  • Intellectual property: Bernstein.io is using blockchain-based, secured digital certificates to create a trail of record for inventors’ creations. Digital certificates can also be attached to non-disclosure confidentiality agreements to establish the existence of a creation and record who knew of it. Legal acceptance of blockchain certificates is developing rapidly because they provide reliable documentation for clients.
  • Fine art: Verisart is a startup that is using blockchain technology to provide verification of authenticity for fine art.

Blockchain Oscars: more use cases!

The event also featured a Blockchain Oscar Competition to select the most promising startups working with blockchain technology. The winner for “Most Innovative Blockchain Startup” was Etherisc, a German startup specializing in providing a blockchain solution for the insurance industry that uses smart contracts. The prize in this category was €5,000 worth of Bitcoins.  The winner for “Startup with the Biggest Potential for Betterment of Humanity” was SolarChange. The prize in this category was €5,000 worth of tokens from Humaniq, a next-generation bank offering solutions for the unbanked.

To learn more about blockchain, read the Forbes Insights Briefing Report: Transforming Transaction Processing for the Digital Economy.

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Jacqueline Prause

About Jacqueline Prause

Jacqueline Prause is the Senior Managing Editor of Media Channels at SAP. She writes, edits, and coordinates journalistic content for SAP.info, SAP's global online news magazine for customers, partners, and business influencers .

Supply Chain Risk Managers Must Be Fuzzy, Or Fail

Susan Galer

I’ve been eager for the chance to inject the fashionable word “fraught” into one of my blogs for a while, and a recent conversation about supply chain risk presented the ideal opportunity.

During an exclusive roundtable at the SAP Ariba Live 2017 event in Las Vegas entitled “Managing Risk in Your Supplier Engagements,” three experts talked about how companies can prevent the worst from happening in a world fraught with stuff that can go wrong.

Their message was that companies can use advanced technologies like machine learning and predictive analytics to neutralize the impact of natural disasters, global currency fluctuations, and labor strikes, more easily ensure compliance with increasing regulations, and even address evils like forced and slave labor in their supply chain ─ but only if all that tech is backed by a corporate commitment to do good.

Cognitive computing changes the game for risk managers

Investigators and risk managers require both data transparency and context, something Padmini Ranganathan, vice president, products & innovation at SAP Ariba, said is foundational to how the SAP Ariba network of buyers and sellers operates. Dan Adamson, CEO of OutsideIQ, an SAP Ariba partner, discussed his company’s cognitive computing platform, which, together with SAP Ariba, changes the game.

Ranganathan noted that advanced technologies can help companies make sure they have the right data at the right time in the right place, and with the right person able to act. “When your supplier is tripping up somewhere, you need to be there to catch it,” he advised. “Technology is a very powerful tool with the ability to machine learn and pattern match to find out what’s going on.”

“Until now, machines have been great at combing through vast amounts of data but not providing context,” he added. “We bring in the right data and apply the first layer of context to make sure it’s a risk you would care about. How you deal with it is another level of context. We’ll see an evolution because some of your suppliers, depending on your industry, might have a heavy regulatory slant, and you need to treat them differently. Our layers of cognitive computing help filter out the noise and bring the relevant events to bear.”

Outside IQ conducts research far beyond simple watch list monitoring. “We go deeper with our cognitive process, replicating what a researcher would do, looking for patterns and links,” Ranganathan continued. “What might be clean today may have a news report tomorrow. Companies need to know before something becomes an explosive issue. The power SAP Ariba brings in is the whole layer of scoring indicators with relationship insights.”

Purpose-driven supply chain

James Edward Johnson, director of supply risk and analytics at Nielsen, said companies have a shared responsibility in managing supply chains for the greater good. The SAP Ariba network helps Nielsen conduct due diligence at scale faster and more cost-efficiently.

“World development has made some people richer and left a lot of people behind,” Johnson noted. “Because we’re so active in the supply chain, we actually touch millions of lives. How do you make sure that’s a force for good, that when you negotiate deals your push for price isn’t merely favoring companies that will cut corners, abuse their workers, enslave people, or rip up the environment by dumping chemicals into lakes?

“SAP Ariba is a great platform because it’s to a degree, data-neutral. A group like Outside IQ will find and read documents from everywhere in the world. If we can find and solve problems in our supply chain, we can make a difference in the world.”

Forget focus, follow the arc to uncover bad behavior

Responding to an audience member question, Johnson cautioned against zeroing in on risks.

“The moment you start focusing, you’re going to fail to capture risk, which is about seeing the unseen,” he said. “Sometimes your peripheral vision is more effective than your central vision. This is the arc of whatever risk you’re looking at. For example, I can guarantee financial indicators are a good leading indicator. The moment a company starts to fail at meeting their numbers, they’ll start taking risks. The question is where those risks materialize. You have look at other things that might provoke bad behavior.”

Every risk manager should be willing to say, “The answer I just gave you is wrong.”

Make data actionable, but accept fuzziness

These experts agreed that people need to factor risk indicators into contract negotiations while recognizing the level of uncertainty inherent to all kinds of data.

“Everyone in risk management should be willing to say ‘the answer I just gave you is wrong’ – the question is by how much and in what direction,” said Johnson. “Too often people are called on to give specific answers they can hang their hat on. That might teach people to manipulate the data or give people who are politically capable an advantage over people who are technically capable, so you might end up promoting people who are better at talking.”

Machine learning promises to strip out biases like recency and sample selection to give decision makers greater objectivity in understanding actual and potential risks and how to address them. “We should have science-based answers, we should have the data, and we should be able to know how well we know what we say we know,” said Johnson.

For more supply chain risk management strategies, see Managing Third-Party Risk Through Verified Trust.

Follow me: @smgaler

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The Future of Cybersecurity: Trust as Competitive Advantage

Justin Somaini and Dan Wellers

 

The cost of data breaches will reach US$2.1 trillion globally by 2019—nearly four times the cost in 2015.

Cyberattacks could cost up to $90 trillion in net global economic benefits by 2030 if cybersecurity doesn’t keep pace with growing threat levels.

Cyber insurance premiums could increase tenfold to $20 billion annually by 2025.

Cyberattacks are one of the top 10 global risks of highest concern for the next decade.


Companies are collaborating with a wider network of partners, embracing distributed systems, and meeting new demands for 24/7 operations.

But the bad guys are sharing intelligence, harnessing emerging technologies, and working round the clock as well—and companies are giving them plenty of weaknesses to exploit.

  • 33% of companies today are prepared to prevent a worst-case attack.
  • 25% treat cyber risk as a significant corporate risk.
  • 80% fail to assess their customers and suppliers for cyber risk.

The ROI of Zero Trust

Perimeter security will not be enough. As interconnectivity increases so will the adoption of zero-trust networks, which place controls around data assets and increases visibility into how they are used across the digital ecosystem.


A Layered Approach

Companies that embrace trust as a competitive advantage will build robust security on three core tenets:

  • Prevention: Evolving defensive strategies from security policies and educational approaches to access controls
  • Detection: Deploying effective systems for the timely detection and notification of intrusions
  • Reaction: Implementing incident response plans similar to those for other disaster recovery scenarios

They’ll build security into their digital ecosystems at three levels:

  1. Secure products. Security in all applications to protect data and transactions
  2. Secure operations. Hardened systems, patch management, security monitoring, end-to-end incident handling, and a comprehensive cloud-operations security framework
  3. Secure companies. A security-aware workforce, end-to-end physical security, and a thorough business continuity framework

Against Digital Armageddon

Experts warn that the worst-case scenario is a state of perpetual cybercrime and cyber warfare, vulnerable critical infrastructure, and trillions of dollars in losses. A collaborative approach will be critical to combatting this persistent global threat with implications not just for corporate and personal data but also strategy, supply chains, products, and physical operations.


Download the executive brief The Future of Cybersecurity: Trust as Competitive Advantage.


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How Digital Transformation Is Rewriting Business Models

Ginger Shimp

Everybody knows someone who has a stack of 3½-inch floppies in a desk drawer “just in case we may need them someday.” While that might be amusing, the truth is that relatively few people are confident that they’re making satisfactory progress on their digital journey. The boundaries between the digital and physical worlds continue to blur — with profound implications for the way we do business. Virtually every industry and every enterprise feels the effects of this ongoing digital transformation, whether from its own initiative or due to pressure from competitors.

What is digital transformation? It’s the wholesale reimagining and reinvention of how businesses operate, enabled by today’s advanced technology. Businesses have always changed with the times, but the confluence of technologies such as mobile, cloud, social, and Big Data analytics has accelerated the pace at which today’s businesses are evolving — and the degree to which they transform the way they innovate, operate, and serve customers.

The process of digital transformation began decades ago. Think back to how word processing fundamentally changed the way we write, or how email transformed the way we communicate. However, the scale of transformation currently underway is drastically more significant, with dramatically higher stakes. For some businesses, digital transformation is a disruptive force that leaves them playing catch-up. For others, it opens to door to unparalleled opportunities.

Upending traditional business models

To understand how the businesses that embrace digital transformation can ultimately benefit, it helps to look at the changes in business models currently in process.

Some of the more prominent examples include:

  • A focus on outcome-based models — Open the door to business value to customers as determined by the outcome or impact on the customer’s business.
  • Expansion into new industries and markets — Extend the business’ reach virtually anywhere — beyond strictly defined customer demographics, physical locations, and traditional market segments.
  • Pervasive digitization of products and services — Accelerate the way products and services are conceived, designed, and delivered with no barriers between customers and the businesses that serve them.
  • Ecosystem competition — Create a more compelling value proposition in new markets through connections with other companies to enhance the value available to the customer.
  • Access a shared economy — Realize more value from underutilized sources by extending access to other business entities and customers — with the ability to access the resources of others.
  • Realize value from digital platforms — Monetize the inherent, previously untapped value of customer relationships to improve customer experiences, collaborate more effectively with partners, and drive ongoing innovation in products and services,

In other words, the time-tested assumptions about how to identify customers, develop and market products and services, and manage organizations may no longer apply. Every aspect of business operations — from forecasting demand to sourcing materials to recruiting and training staff to balancing the books — is subject to this wave of reinvention.

The question is not if, but when

These new models aren’t predictions of what could happen. They’re already realities for innovative, fast-moving companies across the globe. In this environment, playing the role of late adopter can put a business at a serious disadvantage. Ready or not, digital transformation is coming — and it’s coming fast.

Is your company ready for this sea of change in business models? At SAP, we’ve helped thousands of organizations embrace digital transformation — and turn the threat of disruption into new opportunities for innovation and growth. We’d relish the opportunity to do the same for you. Our Digital Readiness Assessment can help you see where you are in the journey and map out the next steps you’ll need to take.

Up next I’ll discuss the impact of digital transformation on processes and work. Until then, you can read more on how digital transformation is impacting your industry.

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Ginger Shimp

About Ginger Shimp

With more than 20 years’ experience in marketing, Ginger Shimp has been with SAP since 2004. She has won numerous awards and honors at SAP, including being designated “Top Talent” for two consecutive years. Not only is she a Professional Certified Marketer with the American Marketing Association, but she's also earned her Connoisseur's Certificate in California Reds from the Chicago Wine School. She holds a bachelor's degree in journalism from the University of San Francisco, and an MBA in marketing and managerial economics from the Kellogg Graduate School of Management at Northwestern University. Personally, Ginger is the proud mother of a precocious son and happy wife of one of YouTube's 10 EDU Gurus, Ed Shimp.