In tis episode, we interview Jeff Tennery, the COO of Alef. Prior to joining Alef, Jeff founded leading freelance platform company Moonlighting, which was acquired in January 2021 by CareerGig. Founded in 2014, and backed by the largest US media companies, the Moonlighting platform supported over 860,000+ freelancers and generated over $50M in annual gig revenues. Jeff has over 30 years of senior executive leadership roles at Verizon, AT&T and Millennial Media. Over the past decade, Jeff has achieved notable success in the mobile application economy, serving in advisory and EIR roles to venture capital firms, as well as start-up companies in mobile video, mCommerce, mobile location data, mobile gaming, blockchain and media.
In this podcast with speak with William Bell, the Executive Vice President of PhoneixNap, on the many ways edge changes performance in numerous industries.
Simon Crosby is the CTO of Swim.ai, a company that enables customers to derive continuous intelligence from their streaming real-time data, as well as the co-founder of Bromium, Inc., which pioneered enterprise virtualization security for cloud and desktop by protecting end users against advanced malware, financed by top-tier investors Andreessen Horowitz, Ignition Capital, Highland Capital Partners, Intel Capital, Meritech Capital and Lightspeed Venture Partners.
Simon co-founded CPlane, serving as the Chairman, CEO and Chief Strategy Officer. He was the co-founder and CTO of XenSource, which was acquired by Citrix Systems, where he then served as the Chief Technology Officer of the Data Center Division and Cloud Division at Citrix Systems Corporation.
Prior to XenSource, he served as a Principal Engineer at Intel, where he led strategic research in distributed computing, platform security, and network-optimization software, as well as a Faculty Member of Cambridge University, where he led research on network performance and control, and multimedia operating systems.
He is the author of 50 peer-reviewed articles and patents on datacenter and networking topics including security, network and server virtualization, resource optimization and performance. He is an active advisor to several startups pioneering the use of AI. He holds a Ph.D in Computer Science from Cambridge University.
Have you ever wondered where we are in 5G deployment and if it matters for your business? In this podcast, we ask Chris Pearson, the president of 5G Americas to share insight on where we are with standards, 5G deployment , private 5G and the future of wireless.
Bio Chris Pearson is the President of 5G Americas. In his executive role, he is responsible for the overall planning of the organization and providing management for the integration of strategy and operations in the areas of technology, marketing, public relations and regulatory affairs. As President of 5G Americas (formerly called 4G Americas), Mr. Pearson represents the organization’s Market Representation interests within the 3rd Generation Partnership Program (3GPP) organization.
Mr. Pearson led the organization from its inception in 2001 as the 3GPP family of technologies market share grew from 10 percent in 2001 to more than 90 percent in North, Central and South America. Mr. Pearson came to the organization from the Universal Wireless Communications Consortium (UWCC) where he served as Executive Vice President in charge of the strategic executive management of the global TDMA wireless technology consortium. Prior to joining the UWCC, Mr. Pearson held several senior technical and marketing positions at AT&T Wireless and GTE.
Inge Opreel is the CIO of FARYS. It provides a range of services in the public domain for the participating cities and municipalities such as the distribution and transport of drinking water, water sanitation and management of sports facilities. Like in many countries worldwide, the government in Belgium has mandated a national smart water meter rollout programme for its water utility providers FARYS is building capability where Smart Meter data (consumption records every 15 minutes) could be collected, stored, analyzed and used to make better, more profitable and sustainable decisions. With the avalanche of new data from IoT sensors and Smart meters, FARYS is reimagining business processes and remove redundancies in legacy processes. Revenue loss through water leaks can be quickly identified with IoT and edge computing to help the environment while achieving their corporate sustainability goals.. Water quality can be improved. Good for business, individuals and the planet
The Chief Innovation Officer of the City of Las Vegas, Michael Sherwood, shares how Las Vegas uses edge computing to improve traffic and public safety. He also talks about the challenges and lessons learned with designing an Internet of Things and edge strategy.
About Michael Michael Sherwood is the CIO for the City of Las Vegas. He has more than 20 years of management experience, specifically in the field of technology, process improvement and innovation with the majority of that experience being in municipal government operations. Most recently he served as the deputy director of public safety, business services and city technology for the city of Irvine, CA since December 2013. In that capacity he was responsible for budgets of both public safety at $70 million and technology at $8 million. He was responsible for more than 100 professional, technical employees and contractors. In that role he developed and implemented key technology strategies that reduced the annual technology operating costs by more than $1 million. He also provided key leadership in bringing Google Fiber to the city. Prior to that position, Michael served as the manager of business services for the City of Irvine, CA from 2012-2013, the chief information officer for City of Oceanside, CA, from 2001-2012 and the information technologies manager for the City of Oceanside, CA from 1997-2000. Before 1997, he served in the private sector.
Are you ever confused by all of the ways to mash up cloud computing and the edge? In this podcast, Bobby Allen. demystifies some of the latest trends in Google Cloud.
Delivering broadband to rural America ( communities of less than 5,000 people which equals 1.5m square miles of the U.S.) isn't easy. Did you know that there were 2,000 carriers serving these areas? In this podcast, we speak with Nancy Shemwell of Trilogy Networks about how to support edge computing use cases, such as connected agriculture, in areas that were typically challenging to deliver broadband services.
About Nancy Nancy is a senior executive with a record of stimulating dynamic growth across diverse, global business environments. Transformational leader with an ability to create strategic vision and successfully execute. You can follow her at https://www.linkedin.com/in/nancy-shemwell-aa01567/
Sensors, wireless connectivity and analytics are changing the future of agriculture. In this podcast , Mike Goodenough, the CTO at Sweet Heal, shares how edge computing is used in the cannibus industry and the unique requirements of edge for a regulated product.
In this podcast with Eric Simone, the CEO of Clearblade, we discuss edge computing, AI, 5G and IoT. We address topics such as what are the different categories of edge and how does it differ from previous IoT concepts. We also look at what industries has he seen adopting edge and what’s are the four main use cases for edge.
Mike is the Senior Director of IT Edge Solutions at AmerisourceBergen. In this podcast, he shares how edge technologies such as mobile, GPS and virtual reality are changing everything from supply chain management to better patient outcomes.
5G offers low-latency at the edge enabling new market opportunities in areas such as manufacturing and cloud gaming. Teena Piccione, the Global Transformation & Operations Executive at Google, shares her thoughts on how edge computing impacts media, entertainment and other industries.
Whit Myers is the CEO of Zuar, Inc, a fast growing data technology company specializing in ELT, Data Staging, and Analytics. Her passion for solving problems with data is paired with 13 years of experience leading disruptive tech teams.
In this podcast, we talk about the shift from ETL to embedding analytics at the edge and how AI changes our thought process on analytics.
MeiLee Langley's Bio MeiLee Langley has a reputation for success in channel marketing and strategy, building channel programs at three cloud market leaders from early-days to industry-wide recognition. Langley has won five Stevie awards for Women in Business across 2020 and 2021, and has been named to Channel Partners’ Circle-of-Excellence and Top-Gun 51 Channel Leaders, CRN’s Women of the Channel, Cloud Girls’ Rising Star award, Colorado’s Most Influential Young Professionals, and more.
In 2021, MeiLee joined LiveVox, an AI-powered CCaaS technology company, as Senior Director, Global Channel Marketing, recruited to build their first global partner program and channel marketing division. Langley’s go-to-market channel strategy and demand generation focused partner marketing approach is earning LiveVox channel and industry-wide recognition and adoption. Langley's ultimate goal is to make marketing approachable for partners by developing programs and tools that make demand generation easy, quick, affordable (and possibly even fun).
As a Cloud Girls co-chair and ACW member, MeiLee’s a mentor and advocate for women in technology.
Lori is the Principal Technical Evangelist, Office of the CTO at F5. She promotes the use of F5 technology through presentations at industry conferences and meetups, articles, blogs and through social media engagement.
Identifies and tracks emerging technology with specific focus on the applicability to changes in the target market and industry at large. Develops and executes thought leadership campaigns relevant to emerging and F5 technology. Assists in defining marketing and product strategy through research, data mining, and analysis of trends and technology at both the business and architectural level.
How do you use edge computing to bring a retail experience to life? Janet Schijns of the JS Group talks about the contextual data that retailers can acquire using the edge and how the edge helps to create new opportunities and new data challenges. Also what is the role of the channel? You can subscribe to the podcast and view additional content at https://elevatetheedge.com
Social links for your hosts and the guest(s)
You can follow
Jo Peterson on Twitter at @digitalcloudgal and LinkedIN at
In this podcast we speak about how changes in employee data access and edge computing require a new security landscape. We're moving from VPNs to zero trust architectures. Tina Gravel of Appgate shares insights on the challenges and the opportunities. We hope you enjoy the show. You can subscribe to the podcast and view additional content at https://elevatetheedge.com
Social links for your hosts and the guest(s)
Jo Peterson on Twitter @digitalcloudgal and on LinkedIN at
This post is sponsored by Intel® and based on the discussion in the Elevate the Edge podcast. However, Right-time Experiences is the intellectual property of Lopez Research and the opinions are my own.
It’s clear that market expectations have changed for retailers in the past several years. Many retail experiences can’t fulfil today’s changing customer expectations. Retailers must reimagine and evolve digital and in-person experiences to create what Lopez Research calls right-time experiences. An RTE delivers the right information to the right person at the right time. These experiences are contextual, learning, predictive and prescriptive. To enable new experiences, retailers need to create a distributed infrastructure that supports analytics from the edge to the cloud. The architecture must be high-performing, resilient, and scalable – even at the edge.
In a recent Elevate the Edge podcast, with TIBCO Software Inc and Dell Technologies, we discussed how both companies are delivering new edge solutions for retailers with Intel®. This conversation covered the characteristics retailers should look for in solutions to create these right-time experiences at the edge.
Edge computing distributes computation and data storage closer to the source of where the data gets generated. Nick Underwood, Consulting CTO (Retail) at Dell Technologies, who spent 16 years at Target before joining Dell Technologies, shared how the edge is not new in retail, but edge technology is transforming the overall customer experience for retailers. He said, “Customers expect a seamless, frictionless experience both online and in-store. We often talk about the intelligent store, and that brings together many things.” Today the complexity and requirements of edge infrastructure have changed. Retailers must collect, analyze and act on data from a myriad of disparate devices in near real-time or real-time to support personalized retail experiences.
Retailers increasingly rely on applications that leverage machine learning and deep learning to deliver sales and support solutions that become learning, predictive and prescriptive. By rapidly processing large volumes of data, a retailer can improve flow, increase basket size and predict inventory requirements. Advanced software will use AI processing to provide prescriptive guidance for achieving the best outcomes by analyzing multiple scenarios.
Creating business agility with intentional architecture
Embracing edge computing with AI provides multiple benefits. The first is taking traditional use cases to an entirely new level. For example, computer vision solutions that couple streaming data analytics with real-time machine learning can enable a fast-food restaurant to understand how many cars are in the queue, how many occupants are in a vehicle, and if it’s a frequent customer. Leveraging other types of contexts, such as time of day and weather, can help a restaurant predict and prepare for shifts in food orders.
TIBCO noted the importance of processing multiple streams of data as one transaction and delivering AI inferencing in real-time to enable services such as self-checkout kiosks. To do this, you need to integrate and analyze data in real-time from multiple devices such as a scanner, the RFID mat, a scale, and a camera to support a single point of transaction. In a busy retail environment, the store will be processing information from multiple kiosks simultaneously.
Underwood picked up on this theme with a real-world example of how the right technology can assist in loss prevention. For example, a person may have two pounds of steak with a retail value of $40. But if the person wants to steal goods, they could scan a label that says it’s two pounds of carrots. When the customer places the item on the scale, the steak weighs two pounds, but they’ve just bought something that has a value of $4 instead of $40. The ability to leverage data from all the touchpoints at the self-checkout kiosk can help retailers identify this issue and notify a staff member. Self-checkout scenarios require advanced processing technology, such as sub-second processing of multiple data streams at the edge using artificial intelligence. The good news is that we have access to high-performance edge computing infrastructure today that enables a wide range of new retail use cases, such as augmented reality, computer vision, and virtual reality. TIBCO and Dell shared how new applications and use cases demand a processing architecture that supports inferencing at the edge, such as the 3rd Gen Intel® Xeon® Scalable Processor.
TIBCO described how access to real-time can provide agility and resiliency to support a company’s bottom line. During the pandemic, Panera Bread created a system called Data Pantry to understand the real-time inventory of perishable food. Armed with this information, Panera could sell excess inventory directly to consumers to minimize the losses.
Retailers need high-performance infrastructure at the edge to thrive. When asked what retailers need to look for, Underwood said retailers need an intentional architecture that provides the potential to run applications or workloads in the right place and at the right time, which could be at the edge of the edge in the case of point of sale. He shared how the traditional focus in retail was on security, resiliency, and availability. Underwood discussed how the data center and the retail store are rapidly becoming software-defined. Retailers need performance, insights and platforms that can provide flexibility with the performance from the edge through the cloud. Underwood said, “You need a platform for the edge, the core and the cloud that can deliver on that consistent, seamless experience and allow for rapid innovation, testing and learning.” This platform leverages a smart server-based architecture at the edge with a common control plane and data plane that gives you visibility.
TIBCO added that you need to pick platforms and frameworks that allow you to easily embrace a wide range of IoT devices today and the flexibility to support whatever comes next. TIBCO said you need to consider how much you can centralize the management of your edge ecosystem. The platform a retailer selects should also provide developers with a low code/no code experience.
He also mentioned how the edge is a team sport and that TIBCO’s partnership with Intel® allowed them to co-create platforms that analyze distributed data from a wide range of devices to drive real-time decision making
Meanwhile, TIBCO and Dell shared the importance of open source and secure systems. Both companies stressed that retailers need to understand the cost of placing data in a specific location in terms of dollars and data accessibility for analytics. Underwood said, “the cloud isn’t one destination.” Companies need information in public cloud hyperscaler systems and at the edge, but neither should it be an island. Companies eliminate any single point of failure by deploying an edge-to-cloud strategy.
Conclusion
Best-in-class retailers collect large volumes of data, process it automatically, and use it to make decisions in real-time to support customer and employee needs. Innovative retailers aren’t just building to upgrade systems but are building infrastructure with a use case in mind. Meanwhile, TIBCO also stated that edge computing is about being nimble. He said, “Companies can leverage technology to be nimble and to respond to different conditions and situations, in whatever way is needed.” I couldn’t agree more.
Ed Featherston, the Director Thermo Fisher Scientific and Technology Evangelist, shares his thoughts on IoT, edge computing and healthcare. You can follow Ed on Twitter at @efeatherston and on LinkedIN at https://www.linkedin.com/in/edfeatherston
In this Intel sponsored podcast, TIBCO Software and Dell Technologies talk about the technology challenges and opportunities retailers face. Retailers have vast volumes of data that increasingly need to be collected, analyzed and acted upon at the edge where the action is happening such as in a store or a drive-thru or behind the scenes. TIBCO and Dell share how their companies have both worked with Intel to create next generation analytics solutions that allow retailers to take customer engagement to the next level.
The edge offers multiple types of data with various analytics needs. In the podcast, Kirk Borne discusses the importance of understanding long term data storage and it's impact on business decisions.
