by Gary Mintchell | Sep 30, 2019 | Education, Workforce
Presentations abound at Emerson Global Users Exchange. Attendees can choose to take deep technical dives into Emerson products, get overviews and trends of technology and the industry, and even personal development. Yes, there was even a 6 am fitness time with either running or Yoga.
Where’s “The Edge”? Yes, you can use good presentation skills for career success. Building Your Personal Brand through Digital Transformation–or social media an networking. Here’s a recap of the 2019 Emerson Global Users Exchange based upon several sessions I attended led by people I’ve known for a long time–Dave Imming, Mike Boudreaux, and Jim Cahill.
Presentation Skills for Career Success
Dave Imming, VP for QC at Emerson presented (well) about making good presentations as essential for career success.
First off–It’s important. Even in your first years as an engineer, you may be presenting ideas to management or even presenting at conferences. These help you become recognized and show your knowledge and ambition.
There are three steps to developing and presenting.
First, you must create a story. I’d emphasize even in a technical presentation making it flow. As you create your story, first you must determine the objective of the presentation. What are you trying to convey? Note: do this with pen and paper. Don’t create slides, yet. Next determine your audience. You must have a clear idea of whom your are talking to. The presentation will be different for your engineering team and for management. Hint: don’t create slides, yet. Now, determine your Key Points. [When I prepare, I use PostIt Notes so I can arrange them easily. Hint: stay away from the computer and don’t create slides, yet. Now you can construct your Story Line. How are you going to develop your ideas. [This is where I arrange and rearrange the PostIt Notes.] Oh, yes, don’t create slides, yet. You can research the Rule of 3 or 7 basic plot lines to help. Now Outline and still don’t create slides. FINALLY create your slides. Do not use text heavy or dense charts. Text should be 30 point. Find interesting and illustrative pictures with maybe a few words superimposed.
Refine and Rehearse—Do this verbally, aloud, several times. First with yourself several times, then to a friend
Stand and deliver—Most important is to have confidence, even while experiencing normal nervousness. Preparation breeds confidence. If you know the key points per slide-especially the first few to get into the groove-then your confidence will grow. Move with intention, do not pace like a caged animal. Make eye contact with one audience member at a time and hold for at least 5 seconds. That establishes connection with the audience.
by Gary Mintchell | Sep 27, 2019 | Internet of Things, Productivity
Presentations abound at Emerson Global Users Exchange. Attendees can choose to take deep technical dives into Emerson products, get overviews and trends of technology and the industry, and even personal development. Yes, there was even a 6 am fitness time with either running or Yoga.
Where’s “The Edge”? Yes, you can use good presentation skills for career success. Building Your Personal Brand through Digital Transformation–or social media an networking. Here’s a recap of the 2019 Emerson Global Users Exchange based upon several sessions I attended led by people I’ve known for a long time–Dave Imming, Mike Boudreaux, and Jim Cahill.
The Secure First Mile–IIoT and the Edge
A panel discussion assembled and led by Emerson’s Director of Connected Plant Mike Boudreaux, discussed Industrial Internet of Things in relation to “Where is the Edge”. The blend of IT and OT on the panel was refreshing and informative. Most instructive was how far each has come toward understanding the entire picture broadening from each’s silos.
Attila Fazekas, ExxonMobil, stated that IoT connects to Level 4 of the Purdue model. He is part of the IT organization taking the view from that side of the divide. He noted that his company tries to have a hard line between the IoT (IT) and control systems, although he admitted that occasionally the line becomes blurred. He was a strong proponent of IT governance, notes they have a hard line between IoT and control system (although in effect the line sometimes gets a bit smudged).
Peter Zornio, CTO Emerson Automation, relates IoT and Edge to “a giant SCADA system.” He reflects those who come from the plant where intelligent devices are connected to an automation system, which formerly was the single point where data was collected and then passed through. I have talked with Zornio for years. Few people in the industry are as knowledgeable about the plant. He is beginning to adjust to the IT world with which he’s going to have to work in the future. Especially given Emerson’s expanded strategy into digital transformation and “Top Quartile Performance.” He sees security helping drive Edge applications to divide systems providing a firm break between control systems and IT systems.
Jose Valle, CTO Energy/Manufacturing at MIcrosoft, brought another IT view to the panel. For him, The Edge becomes a place for security with a separation of functions. He also brought an emphasis on provisioning devices through the cloud.
Rich Carpenter, Executive Product Manager, Emerson Automation / Machinery (former CTO of GE Fanuc/GE Intelligent Platforms), discussed a new Edge computer from Emerson (GE). It uses Hypervisor to run RTOS and PLC control on part of chip segmented by firewall from regular PC chip running Linux for IoT functions. Noted that for the latter, they’ve discovered it better to use Node-RED and Python for programming. Congratulations to Rich for landing at Emerson—he’s another long-time contact. And thanks for mentioning Node-RED.
Overall, the panel expressed concerns about providing security with the IIoT and Edge devices. The best part was Boudreaux’s assembling a panel split evenly with IT and OT and there was no acrimony or “you think this, we think that” nonsense. They are all trying to solve bigger problems than just IT or OT only. Businesses are driving them together to solve “digital transformation” challenges. Good stuff.
by Gary Mintchell | Sep 25, 2019 | Data Management, Internet of Things, Manufacturing IT
DataOps—a phrase I had not heard before. Now I know. Last week while I was in California I ran into John Harrington, who along with other former Kepware leaders Tony Paine and Torey Penrod-Cambra, had left Kepware following its acquisition by PTC to found a new company in the DataOps for Industry market. The news he told me about went live yesterday. HighByte announced that its beta program for HighByte Intelligence Hub is now live. More than a dozen manufacturers, distributors, and system integrators from the United States, Europe, and Asia have already been accepted into the program and granted early access to the software in a exchange for their feedback.
Intelligence Hub
HighByte Intelligence Hub will be the company’s first product to market since incorporating in August 2018. HighByte launched the beta program as part of its Agile approach to software design and development. The aim of the program is to improve performance, features, functionality, and user experience of the product prior to its commercial launch later this year.
HighByte Intelligence Hub belongs to a new classification of software in the industrial market known as DataOps solutions. HighByte Intelligence Hub was developed to solve data integration and security problems for industrial businesses. It is the only solution on the market that combines edge operations, advanced data contextualization, and the ability to deliver secure, application-specific information. Other approaches are highly customized and require extensive scripting and manual manipulation, which cannot scale beyond initial requirements and are not viable solutions for long-term digital transformation.
“We recognized a major problem in the market,” said Tony Paine, Co-Founder & CEO of HighByte. “Industrial companies are drowning in data, but they are unable to use it. The data is in the wrong place; it is in the wrong format; it has no context; and it lacks consistency. We are looking to solve this problem with HighByte Intelligence Hub.”
The company’s R&D efforts have been fueled by two non-equity grants awarded by the Maine Technology Institute (MTI) in 2019. “We are excited to join HighByte on their journey to building a great product and a great company here in Maine,” said Lou Simms, Investment Officer at MTI. “HighByte was awarded these grants because of the experience and track record of their founding team, large addressable market, and ability to meet business and product milestones.”
To further accelerate product development and go-to-market activities, HighByte is actively raising a seed investment round. For more information, please contact [email protected].
Learn more about the HighByte founding team —All people I’ve know for many years in the data connectivity business.
Background
From Wikipedia: DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. While DataOps began as a set of best practices, it has now matured to become a new and independent approach to data analytics. DataOps applies to the entire data lifecycle from data preparation to reporting, and recognizes the interconnected nature of the data analytics team and information technology operations.
DataOps incorporates the Agile methodology to shorten the cycle time of analytics development in alignment with business goals.
DataOps is not tied to a particular technology, architecture, tool, language or framework. Tools that support DataOps promote collaboration, orchestration, quality, security, access and ease of use.
From Oracle, DataOps, or data operations, is the latest agile operations methodology to spring from the collective consciousness of IT and big data professionals. It focuses on cultivating data management practices and processes that improve the speed and accuracy of analytics, including data access, quality control, automation, integration, and, ultimately, model deployment and management.
At its core, DataOps is about aligning the way you manage your data with the goals you have for that data. If you want to, say, reduce your customer churn rate, you could leverage your customer data to build a recommendation engine that surfaces products that are relevant to your customers — which would keep them buying longer. But that’s only possible if your data science team has access to the data they need to build that system and the tools to deploy it, and can integrate it with your website, continually feed it new data, monitor performance, etc., an ongoing process that will likely include input from your engineering, IT, and business teams.
Conclusion
As we move further along the Digital Transformation path of leveraging digital data to its utmost, this looks to be a good tool in the utility belt.
by Gary Mintchell | Sep 24, 2019 | Asset Performance Management, Automation, Internet of Things, Operations Management
Everyone touts Digital Transformation lately. Emerson Automation has been patiently building a Digital Transformation practice through acquisition and development. Executives announced advances at this year’s edition of Emerson Global Users Exchange—my second stop of the Fall Conference Tour. I see Emerson pulling away from many of its automation peers becoming part of a select group of suppliers putting it all together (the others being Siemens, ABB, and Schneider Electric / AVEVA).
I’m going to run through some of the more significant announcements from the press conferences so far this week.
New Digital Transformation Organization
Emerson has established a dedicated organization focused on digital transformation technologies and programs. The Digital Transformation business brings together resources to help manufacturers develop and implement pragmatic digital transformation strategies that deliver industry-leading, or Top Quartile, performance. The $650+ million business combines existing expertise in consulting, project execution, smart sensor technologies, data management and analytics – all part of Emerson’s Plantweb digital ecosystem. The organization will help customers not only establish a clear vision for digital transformation, but also execute and realize measurable results at each step of their journey.
“In a space inundated by confusing promises, Emerson helps customers define and execute a practical and successful path to digital transformation,” said Lal Karsanbhai, executive president of Emerson’s Automation Solutions business. “With our new Digital Transformation business, we are strategically focused on guiding customers to the right strategy, helping them drive improved organizational alignment, and implementing programs that accelerate improved business performance.”
“The industry is at a critical point in the digital transformation journey,” said Stuart Harris, group president for Emerson’s new Digital Transformation business. “Many companies have a vision but struggle to implement practical solutions that deliver results and therefore they are getting frustrated. Other companies are solving specific problems, but not realizing value at scale across the enterprise. Emerson has the technology to provide practical solutions, and the experience to define the best practices and roadmap to help make a broad operational impact.”
Existing and new Emerson resources comprising the business include:
- Operational Certainty Consulting: facility and enterprise-level roadmap strategies and implementation to improve reliability, safety, production and energy utilization metrics
- Operational Analytics: the industry’s most comprehensive portfolio of predictive diagnostics and advanced analytics, providing insights on health and performance of operational assets
- Industry Solutions: deep, industry-specific expertise on solutions to drive key performance indicators
- Pervasive Sensing: the industry’s largest portfolio of smart, easy-to-deploy, connected devices, including wireless instruments
- Project Management: best practices, tools and resources to implement a digital transformation project with confidence
Comprehensive Operational Analytics Portfolio
Emerson’s portfolio of operational analytics focuses on the greatest source of value for industrial manufacturers – the production itself. Operational analytics with embedded domain knowledge can impact and improve performance of simple equipment, complex assets and process units, and entire production plants.
“We recommend addressing the high impact, known problems first,” Zornio said. “By using proven models that make analytics accessible to the personnel responsible for the performance of assets, our customers can act quickly to solve problems faster. For example, Emerson’s solutions can detect and address 80% of the equipment failure modes contributing to production loss in a plant in real-time.”
Additionally, Emerson’s enhanced portfolio includes machine learning and artificial intelligence that can be used to identify new discoveries and deepen insight to impact business performance. These tools provide perspective previously unattainable with traditional analytics.
“With our acquisition of KNet and its integration into our Plantweb Optics asset performance platform, Emerson can provide not only some of the most advanced machine learning and AI tools in the industry, but also the connection to people and workflows, which are critical to digital transformation success,” Zornio said.
Emerson’s portfolio now provides both pre-packaged analytics solutions as well as a complete analytics toolbox for users to develop their own applications. This portfolio is supported by Emerson’s Operational Certainty consulting practice and robust data management capabilities that provide a foundation for analytics success.
AMS Asset Monitor increases visibility and adds predictive analytics
AMS Asset Monitor edge analytics device digitalizes essential asset data and analytics for better operations performance and improved decision making. AMS Asset Monitor provides actionable insights into essential
assets that were previously monitored only with infrequent assessments. The new edge analytics device will connect with Emerson’s Plantweb Optics asset performance platform to provide key operations personnel with instant asset health details for operations and maintenance decision making.
Plants typically monitor the condition of essential assets such as pumps, fans, and heat exchangers only every 30 to 60 days. The longer the gap, the more likely that a defect goes undetected and results in an unexpected failure with significant impact on production, product quality, and plant efficiency. The new AMS Asset Monitor combines easy deployment, embedded logic-based analytics, and intuitive health scoring to make it easier for organizations to monitor and maintain essential assets. For instance, AMS Asset Monitor’s analytics and visualization can help plant personnel effectively plan maintenance during scheduled shutdowns and turnarounds and reduce or eliminate unplanned downtime.
Unlike typical analytics devices that send data to a historian or the cloud to be processed later, AMS Asset Monitor provides analytics at the edge, performing calculations at the device. This device-centered analytics capability reduces the time, complication, and expense of adding analytics to a plant’s assets. Each device collects data continuously and uses embedded logic to identify and diagnose common reliability issues. Individual issues such as imbalance, misalignment, bearing faults, lubrication issues, or fouling are consolidated into an overall asset health score. AMS Asset Monitor then communicates these health scores via a web browser or—when integrated with Plantweb Optics—through real-time persona-based alerts on mobile devices. Plantweb Optics also enables enterprise-wide visibility and expands edge analytics and digital intelligence throughout the organization, keeping personnel aware of essential asset health.
“Plants are always looking for more ways to improve profitability by increasing productivity. Just a percentage point or two in availability can equal millions of dollars per year or more,” said John Turner product manager for online prediction, Emerson. “The AMS Asset Monitor enables personnel across the plant to see the current health of essential assets along with suggested actions to improve asset health. This allows them to make informed decisions to maintain reliability, increase uptime and maximize productivity.”
The AMS Asset Monitor’s small footprint along with wired or wireless Ethernet connectivity make it simple to install. The edge device can support new applications by simply adding new logic-based analytics.
Industrial Wireless Network Solution
Emerson is partnering with Cisco to introduce a next-generation industrial wireless networking solution. The new Emerson Wireless 1410S Gateway with the Cisco Catalyst IW6300 Heavy Duty Series Access Point combines the latest in wireless technology with advanced WirelessHART sensor technology, delivering reliable and highly secure data, even in the harshest industrial environments.
“A secure connection that scales easily is the foundation for every successful IoT deployment.” said Liz Centoni, senior vice president and general manager, IoT at Cisco. “By using the power of the intent-based network, Cisco provides a secure, automated, rock solid infrastructure helping IT and operational teams work together to reduce complexity and improve safety.”
This next-gen wireless access point provides enhanced wi-fi bandwidth necessary for real-time safety monitoring, including Emerson’s Location Awareness and wireless video. These applications enhance personnel safety practices, improve plant security and help ensure environmental compliance. A reliable and fast connection between devices and people streamlines decision making by providing real-time analytics. It also enables a mobile workforce to virtually come together, collaborate and resolve critical issues in a timely manner.
“Products installed in industrial plants need to last for years, even decades,” said Bob Karschnia, vice president of wireless at Emerson. “This kind of longevity was a critical design and engineering requirement to ensure this new wireless access point was future-proofed to meet a rapidly evolving technology landscape.”
Personalized Digital Experience
Emerson‘s new personalized digital experience – MyEmerson–connects people and technology through streamlined work processes and better collaboration. With a MyEmerson online account, users can access digital tools to quickly engineer solutions, manage software and installed assets, access training, collaborate with experts, streamline procurement processes, and improve visibility into buying history and trends.
“Driven by our personal interaction with digital technology, customers have new expectations today about speed and access to information,” said Brad Budde, vice president of digital customer experience, Emerson
Automation Solutions. “Our customers still want access to human expertise, but now expect a great digital experience as well. Combining these two experiences to deliver information immediately and use it to solve problems faster is what drives new business value.”
Digital engineering tools help engineers collaborate, gain confidence in an evolving industry, and streamline time-consuming manual processes. With online sizing, selection, and configuration tools for measurement instrumentation, valves, actuators, fluid control, pneumatic and electrical solutions, engineers can confidently and accurately specify solutions for their unique requirements and process conditions. By employing
digital tools, engineers can configure instrumentation up to 93% faster, typically saving over 100 engineering hours annually.
For procurement professionals, MyEmerson includes access to online purchasing and supplier management resources. Once solutions are selected and configured by engineering counterparts, the information moves seamlessly to the procurement team – eliminating the need for manual handoffs and duplicate entry of model codes. Procurement personnel can then create requisition lists, generate quotes and automatically populate purchase orders. With greater visibility to order status and order history, procurement teams have access to the information they need to drive more efficient processes.
The MyEmerson development roadmap will centralize the management of software, hardware and workforce upskilling. With easier access to technical documentation, easier identification of device location, and the ability to initiate repair, replacement or service as needed, organizations gain maintenance and turnaround planning efficiencies. By moving from manual management of disparate software applications, updates and
licenses, users will be able to actively operate and maintain their software portfolio through a single-entry point. Both hardware and software records will be tightly integrated to relevant training, enabling trackable and accessible information in the same experience.
by Gary Mintchell | Sep 23, 2019 | Manufacturing IT, Operations Management, Software
Digitally integrating and aligning manufacturing operations with the rest of the enterprise has been an elusive goal for perhaps 20 years. It was a promise of ERP. Easy to say; hard to accomplish. Then we went through all the IT/OT stuff. Here’s another take–aligning sales and operations. Speaking from bitter experience, have faster and more accurate feedback from sales would have made our lives better in operations.
Salesforce just announced Manufacturing Cloud, a new industry-specific product for manufacturers. Manufacturing Cloud brings sales and operations teams together around a unified view of market and customer demands to more accurately forecast, plan, and drive predictable business performance. With Manufacturing Cloud, companies can now better meet commitments and run a more streamlined business while improving customer satisfaction.
Here is the rationale from Salesforce: The manufacturing industry depends on predictability, as its capital-intensive businesses often have complex physical operations that cannot be quickly or inexpensively modified to meet changing customer demands. Unfortunately, operations teams aren’t always aligned with sales reps to ensure they have a single, real-time view of all aspects of their customer relationships.
Critical customer insights are siloed across spreadsheets and multiple ERP systems, which can negatively affect account performance and ultimately the ability to accurately predict demand. The resulting inventory stockouts, buildups and warehousing costs reduce operating margins and negatively impact revenue. In order for manufacturers to provide a seamless customer experience, they need a solution that helps them better understand customer needs while improving visibility across the entire value chain.
“In the manufacturing industry, changing customer and market demands can have a devastating effect on the bottom line, so being able to understand what is happening on the ground is imperative for success,” said Cindy Bolt, SVP and GM, Salesforce Manufacturing. “Manufacturing Cloud bridges the gap between sales and operations teams while ensuring more predictive and transparent business, so they can build deeper and more trusted relationships with their customers.”
Introducing Manufacturing Cloud
Manufacturing Cloud, the newest industry-specific product from Salesforce, delivers a new level of business visibility and collaboration between the sales and operations organizations of a manufacturing company. This allows them to have a better view of their customers through powerful new sales agreements and account-based forecasting solutions, providing visibility into their customer interactions while enabling them to generate more robust sales forecasts.
Salesforce has collaborated with major manufacturing and sales companies through the product pilot program, including Kawasaki Motors Corp., U.S.A. – Engines Division, Hitachi Chemical, CF Industries, Mipox, GELITA and more.
Manufacturing Cloud features include:
- Sales Agreements allow manufacturers to unify their run-rate business with data housed in ERP and order management systems with the contract terms negotiated—including planned volumes and revenues—so both operations and account teams can have a 360-degree view of the customer. If any changes to the agreement are needed, they are immediately incorporated into the existing sales agreement, ensuring there is always a single source of truth. This allows account teams to manage the full sales agreement lifecycle and have visibility into committed and actual order volumes, the performance of the agreement against the forecast and other time-phased custom metrics. This also simplifies the renewal process, ensuring account teams continue to bring in revenue while increasing margins.
- Account-Based Forecasting provides manufacturers with a complete view of their current business alongside future opportunities. This allows sales, finance and operations teams to develop more accurate forecasts while breaking down internal silos. Account teams can also add updates on changing customer needs or market demands, allowing the team to collaborate and adjust forecasts in real-time, helping to make business transactions, profits and revenue margins more predictable.
In addition to Manufacturing Cloud, Salesforce is also releasing new manufacturing-specific innovation across the Salesforce Customer 360 Platform to help manufacturers deliver greater transparency, streamline collaboration and grow their businesses.
- Einstein Analytics for Manufacturing provides account managers with access to an intelligent experience with out-of-the-box KPIs into account health, demand insights, product penetration and sales agreement progress. By centralizing and analyzing key data sources, account managers can proactively engage clients that are at highest risk for churn. In addition, by identifying key trends within an account, account managers can proactively grow their relationship by recommending relevant upsell and cross sell opportunities.
- Community Cloud for Manufacturing will deliver a new pre-built template specific for manufacturers that extends sales agreements to channel partners, allowing them to easily collaborate together on leads and opportunities.
- MuleSoft Anypoint Platform unlocks data from any application, data source or device—whether that data is on-premise or in the cloud. By enabling organizations to connect Manufacturing Cloud with other systems, sales and operations leaders can automate the complete order-to-cash process, create a comprehensive forecast view and drive business process automation across all sales channels.
Partners Accelerate Expansion
Salesforce has a comprehensive ecosystem of partners that will extend the power of Manufacturing Cloud. Key partners were instrumental in the development of Manufacturing Cloud, and will power digital transformation for customers in the manufacturing industry.
- Accenture: As a pilot partner, Accenture’s global experience with industrials is providing new ways to apply Manufacturing Cloud to deliver transformational value through practical, connected, cloud-enabled solutions.
- Acumen Solutions: As a design and pilot partner for Manufacturing Cloud, Acumen Solutions collaborated with Salesforce to identify personas, use cases and requirements of customers in the manufacturing space to inform product development.
- Deloitte: Cloud4M, an ISV Managed Package, was built on Manufacturing Cloud by Deloitte Digital, Deloitte’s creative digital consultancy and a Manufacturing Cloud pilot partner. Cloud4M is a pre-configured, multi-cloud software solution designed to simplify decision making in B2B sales agreements and throughout the end-to-end customer engagement process, tailored for manufacturers and industrial product companies.
- Rootstock: Rootstock’s ERP system, built on the Salesforce Platform, feeds actuals from its ERP to Manufacturing Cloud to track compliance against sales agreements. Additionally, Rootstock’s planning engine consumes sales forecasts from Manufacturing Cloud to improve the quality of production, procurement and distribution plans.
Availability
Manufacturing Cloud, Einstein Analytics for Manufacturing and Community Cloud for Manufacturing will be generally available in October, 2019.
