In this episode, we discuss the latest IoT trends and key predictions of how the Internet of Things will drive the digital transformation of business in 2021.

To read our research related to IoT trends, follow the link: https://mobidev.biz/blog/iot-technology-trends

Iot Trends to Drive Innovation for Business in 2021 (made with Spreaker)

In this engaging episode of "AI with Shaily," host Shailendra Kumar takes listeners on a captivating journey through the latest advancements in artificial intelligence. 🎙️✨ The show emphasizes the dynamic and rapidly changing landscape of AI, where technology is constantly evolving and reshaping our world.

One of the key topics discussed is the recent breakthrough in energy efficiency for neural networks. Shailendra presents an analogy of neural networks as thirsty travelers, with energy being their essential resource. 🧳💧 He highlights research from the *Journal of Statistical Mechanics*, which suggests that starting with smaller networks and employing curriculum learning can lead to effective training while conserving energy. This innovative approach is likened to nurturing a bonsai tree that grows into a robust oak while using minimal water. 🌳💡 Shailendra poses an intriguing question about whether this sustainable growth could be the key to AI's future.

The episode also dives into Broadcom's latest innovations, particularly their new PON solutions. Shailendra describes how their power management chips, BCM68660 and BCM55050, are designed to enhance edge AI and learning applications. 🏃‍♂️⚡ He compares this advancement to a sprinter poised to break records at the starting line, emphasizing that these chips not only increase speed but also enable smarter decision-making at the network's edge. This showcases the exciting technological progress occurring in real-time.

Another significant topic is the global surge towards generative AI, with companies around the world harnessing its potential to innovate and stay ahead of the competition. Shailendra likens this movement to the industrial revolution, positioning GenAI as the driving force behind unprecedented enterprise efficiency. 🚀🏭 He prompts listeners to consider how their organizations plan to adapt to this fast-paced GenAI era, encouraging a proactive mindset in embracing change.

As a bonus tip, Shailendra advises starting AI projects with smaller networks to ensure an energy-efficient journey. 🌱⚙️ This practical suggestion not only conserves resources but also enhances performance, making it a valuable insight for aspiring AI developers.

The episode wraps up with a thought-provoking quote: "AI is not just a trend; it's the evolution of creativity and efficiency." 💭✨ Shailendra invites listeners to join the conversation on various platforms such as YouTube, Twitter, LinkedIn, and Medium, encouraging them to share their thoughts and subscribe for more enlightening discussions on AI. He concludes with a reminder to keep exploring the fascinating frontier of artificial intelligence, leaving the audience eager for the next episode.

AI Revolution: Energy-Efficient Neural Networks & Edge Breakthroughs

In this episode of Arm Viewpoints, host Brian Fuller chats with SpaceTech CEO Sean Ding about the transformative role of Edge AI in smart buildings. Sean shares insights from his journey at Intel, Huawei and Alibaba, leading to his work at Vanke’s SpaceTech, where he’s driving the digitization of 1 billion square meters of real estate in China (four times the size of Washington, D.C.). They discuss the integration of Arm-based edge servers, AI for energy efficiency and the future of smart building technology. Tune in to explore how innovation is reshaping property management and advancing green building initiatives.

Arm Viewpoints: Bringing edge AI to millions of homes

In this episode of The Broadband Bunch, host Pete Pizzutillo sits down with Jeff Wabik of DC BLOX for a tour of how modern data centers are conceived, powered, cooled, and connected—especially across the underserved Southeast. Jeff traces his tinkerer roots (think Heathkit computers at age 12) through launching one of the earliest ISPs in the late ’80s, to helping build DC BLOX’s “bunker-plus-connectivity” model and its evolution from regional edge facilities to hyperscale projects—including a Myrtle Beach cable landing station serving global web giants.

Jeff discusses what it takes—from site selection and power realities to five-nines reliability and Tier III design—to deliver on the simple promise of “doing what you said you would do.” He talks through today’s biggest constraints—grid capacity, generator and fiber lead times, and skilled labor gaps—and where innovation fits, from AI-assisted construction verification to smarter alarm reduction across tens of thousands of sensors. Along the way, he offers candid career advice (keep reinventing yourself—and don’t forget sunscreen) and a pragmatic view on on-site generation (natural gas today, nuclear tomorrow?) to meet AI-era demand.

Episode 468: Jeff Wabik on Data Center Design, Power Challenges, and Delivering True Reliability

This is the audio track accompanying a detailed article on edge-computing, and the roles of 5G / telecom operators and data-centre providers. 

It covers the needs of new IoT and other applications that need low-latency cloud computing resource, and examines the motivations of different players in the industry.

The main text article & illustrative graphics is at https://disruptivewireless.blogspot.com/2019/02/3-emerging-models-for-edge-computing.html

Edge Computing - Telco vs. Datacentre vs. Aggregators

Artificial intelligence is supposed to make your life easier, whether it’s in a consumer setting or an industrial setting. Edge computing, which is the on-premise compute component, is growing in its potential. Edge devices started as simple sensors and now they constitute complete compute platforms, in many cases. According to Jonathan Luse, General Manager of Product Planning for the IoT Group at Intel, who was this week’s Five Minutes with…guest, Intel is high on the technology and has the tools a developer needs to connect the dots in an AI-based platform.

Five Minutes With…Jonathan Luse, GM, IoT Group, Intel

IoT has created a tidal wave that data savvy organizations can turn into profitable business solutions. Most IoT data comes from sensors, which are now attached to almost every device imaginable, from factory floor machines and agricultural fields to your cell phone and toothbrush. But IoT is forcing companies to rethink their data architectures to ingest, process, and analyze streaming data in real-time. 

To help us understand the impact of IoT on data architectures, we invited Dan Graham to our show for a second time. Dan is a former product marketing manager at both IBM and Teradata, renowned for combining deep technical knowledge with industry marketing savvy. During his tenure at those companies, he was responsible for MPP data management systems, data warehouses, and data lakes, and most recently, the Internet of Things.

Dan Graham: Impact of IoT on Data Architectures

As almost every object in your home and office become potentially internet-enabled, the IoT is poised to apply a major stress to the current internet and datacenter infrastructure. The popular approach is to centralize cloud data processing in a single site, resulting in lower costs and strong application security. However, with the sheer amount of input data that will be received from globally distributed sources, this structure will require some backup. Also, in most cases, enterprise data is pushed up to the cloud, stored and analyzed, after which a decision is made and action taken. This system is not efficient, and to make it so, there is a need to process some data in IoT case in a smart way, especially if it’s sensitive data that needs quick action.

IDC estimates the amount of data analysed on devices that are physically close to the IoT is approaching 40 percent, which supports the argument for a different approach to smart data processing. Edge/fog computing is the ideal solution to this challenge as it allows computing, decision-making and required action to happen via the IoT device itself, and pushes only relevant data to the cloud.

Intel Global IoT DevFest IV

Why IoT Needs Edge/Fog Computing?

Hadelin and I outlined our top 5 trends in Data Science for 2020. We discussed why they’re hot topics and how companies can utilize them to drive profit and efficiency in the coming year.

In this episode you will learn:
• The decade in review [1:45]
• A decade preview [5:20]
• 2020 trends webinar [7:30]
• Robotic process automation [9:00]
• Natural language processing [18:28]
• Reinforcement learning [26:35]
• Edge computing [37:25]
• Open source AI frameworks [52:02]

Additional materials: www.superdatascience.com/327

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 327: Data Science Trends for 2020

In this podcast, techUK’s tech and innovation programme explores the role and impact of Edge Computing in business transformation in 2021 and beyond.

techUK is joined by industry leaders Stephen Pattison, ARM Joe Baguley, VMWare and Mehdi Kasmi, Atos to explore the potential opportunities and benefits of Edge Computing to UK businesses, and why action is needed now to recognise the importance of Edge to the UK’s digital future and ensure organisations, of all sizes and sectors, are ready, willing and able to embrace Edge Computing.

The techUK Podcast Episode 24 - The future of business transformation is at the Edge

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

Embedded Computing Design is the trusted property for information regarding embedded design and development. Applications covered include: IoT, Automotive, Medical, Industrial, DIY, Consumer, Digital Signage, and more.

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

Championing technology-led growth to build a globally competitive, innovative and sustainable UK economy.

Welcome to the Broadband Bunch, a podcast about broadband and how it impacts all of us.  Join us to learn about the state of the industry and the latest innovations and trends. Connect with the thought leaders, pioneers and policymakers helping to shape your future through broadband.

The Broadband Bunch is sponsored by:
ETI Software:  www.etisoftware.com
VETRO: www.vetrofibermap.com

Arm technology is at the heart of a computing and data revolution that is transforming the way people live and businesses operate. Our energy-efficient processor designs and software platforms have enabled advanced computing in more than 215 billion chips and our technologies securely power products from the sensor to the smartphone and the supercomputer. Together with 1,000+ technology partners we are at the forefront of designing, securing and managing all areas of AI-enhanced connected compute from the chip to the cloud.

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