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Showing posts with label Podcast. Show all posts
Showing posts with label Podcast. Show all posts

Friday, January 13, 2023

AI in Strategy Podcast

Thoughtful piece here, full podcast below

Artificial intelligence in strategy

McKinsey,  January 11, 2023 | Podcast, By , Yuval Atsmon

AI tools can help executives avoid biases in decisions, pull insights out of oceans of data, and make strategic choices more quickly. And that’s just the beginning.

Can machines automate strategy development? The short answer is no. However, there are numerous aspects of strategists’ work where AI and advanced analytics tools can already bring enormous value. Yuval Atsmon is a senior partner who leads the new McKinsey Center for Strategy Innovation, which studies ways new technologies can augment the timeless principles of strategy. In this episode of the Inside the Strategy Room podcast, he explains how artificial intelligence is already transforming strategy and what’s on the horizon. This is an edited transcript of the discussion. For more conversations on the strategy issues that matter, follow the series on your preferred podcast platform.

Joanna Pachner: What does artificial intelligence mean in the context of strategy?

Yuval Atsmon: When people talk about artificial intelligence, they include everything to do with analytics, automation, and data analysis. Marvin Minsky, the pioneer of artificial intelligence research in the 1960s, talked about AI as a “suitcase word”—a term into which you can stuff whatever you want—and that still seems to be the case. We are comfortable with that because we think companies should use all the capabilities of more traditional analysis while increasing automation in strategy that can free up management or analyst time and, gradually, introducing tools that can augment human thinking.

Joanna Pachner: AI has been embraced by many business functions, but strategy seems to be largely immune to its charms. Why do you think that is?  ... ' 

Friday, December 02, 2022

Mexico Replacing China for Manufacturing?

Mentioned in passing in a meeting, this related Podcast of interest:

THE SCB PODCAST

Podcast | Can Mexico Replace China as a Manufacturing Powerhouse?

China is losing its luster as a low-cost source of manufacturing. Is Mexico an alternative?

U.S. manufacturers are beginning to sour on China as the place to go for cheap production. Reasons include the rising cost of Chinese labor, the distance to American markets and simmering trade tensions between the two countries. Can Mexico step up as companies think about diversifying sourcing and near-shoring production? On this episode, we hear the case for Mexico as the place to site manufacturing from Jay Gerard, head of customs with Nuvocargo. He discusses the new opportunities that exist in cross-border trade, but he’s also candid about the challenges that must be overcome if Mexico is to solidify its position as the ideal location for the production of U.S.-bound consumer goods. Are companies listening?

Hosted by Bob Bowman, Editor-in-Chief of SupplyChainBrain.

Show notes:  A blog post from Nuvocargo: 

Friday, October 28, 2022

Steve Nouri of the Forbes Technology Council talks AI

In this episode, Rashmi Mohan hosts Steve Nouri, Founder of AI4Diversity, Founding Member of Hackmakers, and Chief AI Evangelist at Wand. He’s an award-winning technical leader, data scientist, academic, entrepreneur, and global leader on artificial intelligence. Nouri sits on the Forbes Technology Council, is a committee member at the International Organization for Standardization (ISO), and was named ICT Professional of the Year Gold Disruptor in 2019 by the Australian Computer Society (ACS). With more than 1 million followers on LinkedIn, he is one of the most influential voices in AI and Data Science.

The podcast is available in the ACM Learning Center  , where you can also subscribe to an RSS feed as well as download a full transcript of each episode, and on popular podcast platforms including Apple Podcasts, Google Podcasts, Spotify, and Stitcher. ...    From  ACM

Thursday, September 22, 2022

Linguistics and the Development of NLP

Home/Opinion/Interviews/Linguistics and the Development of NLP/Full Text

ACM OPINION

Linguistics and the Development of NLP   By The Gradient

September 9, 2022

Christopher Manning is the director of the Stanford University AI Lab and an associate director of the Stanford Human-Centered Artificial Intelligence Institute.

In this podcast, Chris Manning, an ACM Fellow, AAAI Fellow, and past president of ACL, discusses a number of topics, including tree recursive neural networks, GloVe, neural machine translation, computational linguistic approaches to parsing, and his current work, which is focused on applying deep learning to natural language processing.

Full article

Tuesday, July 26, 2022

Synthetic Data in Machine Learning: What, Why, How?

Podcast of interest,  via Vincent Granville:  

Synthetic Data in Machine Learning: What, Why, How?

Published on July 25, 2022

In this episode, Nicolai Baldin (CEO) and Simon Swan (Machine Learning Lead) of Synthesized are welcoming the founder of Data Science Central and MLTechniques.com Vincent Granville to discuss synthetic data generation, share secrets about Machine Learning on synthetic data, key challenges with synthetic data, and using generative models to solve issues related to fairness and bias.

Contents

0:00 – Introductions

3:24 – How did you become interested in synthetic data?

5:36 – How does the corporate world interact with synthetic data?

8:31 – Problems that synthetic data can help solve

18:55 – Synthetic datasets used by corporations

27:55 – What is driving the interest to synthetic data?

31:21 – How would you define what synthetic data actually is?

38:43 – Creating and sharing high quality synthetic data

41:58 – What criteria should be used to measure synthetic data?

46:02 – Challenges in scaling from standalone tables to databases

49:38 – Data coverage concept and its applications

51:30 – Using synthetic data to help solve biases

57:13 – Fire round

1:00:53 – Conclusions

View podcast here.    .... ' 

Tuesday, May 17, 2022

Amazon AWS Podcast

Following some useful information from Amazon:

 Emily Freeman

Emily Freeman is a technologist and a storyteller who helps engineering teams improve their velocity. As the author of DevOps for Dummies and the co-curator of 97 Things Every Cloud Engineer Should Know, she believes the biggest challenges facing developers aren’t technical, but human. Her mission in life is to transform technology organizations by creating company cultures in which diverse, collaborative teams can thrive. Emily focuses on DevOps and Developer Tooling at AWS.

Podcast host Dave Isbitski

Dave has been a professional speaker, trainer, and developer relations advocate for over two decades. He has taught full-day courses on many topics including software development, DevOps, mobile, voice and the cloud. Dave has helped launch numerous technology platforms and devices while at both Microsoft and Amazon. He can also be found on Twitter as theDaveDev. .... 

Tuesday, April 26, 2022

MITSloan Podcast on AI

Informed of,  following

Me, Myself, and AI

A Podcast on Artificial Intelligence in Business

Why do only 10% of companies succeed with AI? In this series from MIT SMR and BCG, we talk to leaders achieving big wins with AI in their companies and learn how they did it. This season, leaders from companies like Stanley Black & Decker, LinkedIn, Levi Strauss & Co., Warner Music, and others will share the keys to their AI success.

Me, Myself, and AI

Subscribe for updates

Also available on:  Google Podcasts | Stitcher | Amazon Music | Castbox | iHeartRadio | TuneIn

Wednesday, April 13, 2022

Innovative, Practical Applications of the Metaverse: Podcast and Transcript

 Good overview,   Note it points to past pieces. 

Innovative and Practical Applications of the Metaverse

March 29, 2022 | Podcast  with Richard Ward, Mina Alaghband  of McKinsey

The immersive experience of the metaverse allows for massive shifts in training, education, and work. In this episode of the At the Edge podcast, McKinsey expert Richard Ward speaks with McKinsey’s Mina Alaghband to share the myriad ways in which metaverse technology is already being implemented and how executives can get started to discover where the business opportunities exist, including no-regret moves they can make today.

An edited transcript of the discussion follows. For more conversations on cutting-edge technology, follow the series on your preferred podcast platform.

Podcast transcript:

When it comes to your organization, what are practical ways to use the metaverse?

Why not practice first in the metaverse, where it’s low cost, you can do things in an infinite way, and you can make the impossible happen? Those types of things really offer people more efficiency and productivity.

Mina Alaghband: That’s Richard Ward, a McKinsey senior expert who joins me today. This is the last of a three-part series on the metaverse. I’m Mina Alaghband. Welcome to At the Edge, a production of McKinsey’s Technology Council.

Richard, thank you so much for joining us today. We’ve heard a lot about this ten-year aspiration for the metaverse to be a place where we all reside and have our identities, and there is a secondary economy that some say will be even bigger than the real-world economy. But business leaders will want to know what this looks like today, and what it will look like over the next few years. Could you start by describing some of the near-term use cases you’re seeing in the market?

Richard Ward: The things that you can do today are really quite interesting. On the VR [virtual reality] end of the spectrum, a lot of heavy industries and even the United States military have discovered that when you need to teach people a new vocational skill, like how to repair a piece of equipment such as a truck or a helicopter, one of the really long parts of that educational process is people learning where all the parts are on the equipment. So a number of organizations have decided to go VR and metaverse first, rather than real-world first.

It used to take 18 weeks to train a new recruit to work on one of these helicopters, but what they do now is hand a new recruit a pair of VR goggles, which in effect gives them their own private helicopter to learn on. They spend several weeks doing very intensive quizzes and simulations—where is the air filter and what order do you put these wires in? And one of the fascinating things that has come out of this is that they’ve been able to shorten their training course from 18 weeks down to ten weeks. This provides a real-world example of how if you need to do something that is very manual or requires you to move around a lot, metaverse tools can be very helpful. That’s one of the key elements of the metaverse: you can move around, you can walk places, you can see things, you can do things.

This technology is very powerful in terms of helping people learn things that are manual or tactile in the hand and that involve muscle memory. Much of the world does this type of work, and to be able to make the training for it more efficient and higher quality is a very exciting story.

Mina Alaghband: Can you give us an example in the financial services industry? What might an application of the metaverse look like today or in the near future?

Richard Ward: Whether you agree with the idea of NFTs—nonfungible tokens—the fact is that they are an asset class, and the financial services arena is starting to bring all of their usual skills and capabilities into this new asset class. There have now been loans that have been collateralized based on the agreed-to value of these NFTs. Similarly, there was a report recently about a firm issuing a mortgage for a virtual real estate deal in one of these digital, proto-metaverse environments.1 That’s essentially a collateralized loan, but still it’s very exciting that these kinds of concepts flow through this new digital setting.

The thing that adds a lot of interest to this is that the use of NFTs involves a lot of foreign exchange activity. So you have money going between, let’s say, US dollars into Ethereum, and then from Ethereum into another [crypto] coin or into other similar kinds of assets that are somewhat semifungible—those are activities that are very familiar to the financial services sector. It’s basically foreign exchange trading and management of risk. We’re still in the very early days, and I would defy anyone to truly be able to tell us about everything that financial services will be able to do five years from now.

Mina Alaghband: If I’m in the industrial sector, what kind of applications might I be seeing today? And are these examples of augmented reality [AR] or VR?

Richard Ward: In field operations, people are starting to use AR for remote assistance provided through a smartphone or a tablet or even a set of fancy glasses with special lenses in them.

The really interesting part about this is when you start using the data generated from this process. For example, you could ask, “What are the things that we’re getting the most remote assistance calls on?” and then flow that information into updating the training program. You could then use that data to update an assessment program to see if people really did learn the things they need to learn, and then potentially see the number of calls for a category of problems go down.  .... "

Wednesday, March 09, 2022

Why Employee Wellness Programs Don't Work

Thoughtful piece and podcast.  Considerable plan costs involved.   Remedy?

Why Employee Wellness Programs Don’t Work  in Knowledge@Wharton

Many companies have employee wellness programs with the goal of reducing the skyrocketing costs of health care for their workers. But there is little evidence that these programs are effective.

Wharton management professors Iwan Barankay and Peter Cappelli suggest that instead of free gym memberships or yoga classes, companies should try to meet the most vulnerable workers where they are by offering support tailored to their needs. Helping those employees find a primary care doctor or transportation to routine appointments, for example, would improve their health outcomes better than cash incentives.

“What we need to do is listen to our employees. We have to talk to them to understand what their barriers are to start engaging,” Barankay said. “It may look trivial for most of us, but for people who have a complicated life, just the thought of finding parking near the pharmacy to pick up drugs or knowing what to wear and how to sign up for classes at the gym are things that they would benefit from having support with. They’re just really burdened by their lives and comorbidities so they struggle to build this into their routines.

Barankay spoke with Wharton Business Daily on SiriusXM about the problem with employee wellness programs. (Listen to the podcast above.) He and Cappelli wrote a recent article on the topic for The Wall Street Journal, explaining why wellness programs don’t work despite their surging popularity.  ... '

Thursday, October 28, 2021

Committed Innovation

Good thought about innovation, intro below.

The Committed Innovator: A conversation with Loonshots author Safi Bahcall

Why do some ideas fly and others fail, By Erik Roth    inMcKinsey

The Committed Innovator 

The entrepreneur and innovation adviser explains how to make bold innovations flourish.

 Article (7 pages)

Companies looking to bring breakthrough innovations to life need the right organizational structures and incentives in place. In his book, Loonshots: How to Nurture the Crazy Ideas That Win Wars, Cure Diseases, and Transform Industries (St. Martin’s Press, March 2019), Safi Bahcall, a former biotech CEO who now helps organizations innovate, explains what that requires. In this episode of the Inside the Strategy Room podcast, he talks with Erik Roth, leader of McKinsey’s innovation work globally, about why some great ideas changed the world and others failed to take off. This is an edited transcript of the discussion, which is the latest in our Committed Innovator series of conversations with innovation experts around the world. For more conversations on the strategy issues that matter, subscribe to the series on Apple Podcasts or Google Podcasts.

Podcast transcript

Erik Roth: You used to run a biotech company. Why did you decide to write Loonshots when you did?

Safi Bahcall: Not long after I started the biotech firm, my father was diagnosed with a rare type of leukemia. We were a cancer-focused company and I figured I could do something to help him. Unfortunately, nothing I could do made a difference and he died not long after. Over the years, as the company grew and went public, I spent a lot of time with R&D companies of all sizes and kept noticing how promising ideas, including ones that could have helped my father, remained trapped inside these organizations’ basements. That stayed with me.  ... ' 

Wednesday, October 06, 2021

Podcasting and all That

Never related SAS to Podcasts. Then I saw the below.  Have been interested this kind of promotion/broadcasting that you can ingest as and where you want, and repeat as you need.  I even did an internal podcast for P&G when I worked there that discussed the uses of technology. I still get questions about it. I now frequently follow podcasts. And mention them here.   Easy to do on a smartphone. Now SAS has written up a piece on branded podcasts, see below:    With pointers to some I will hear:  -Franz

Why I listen to branded podcasts (and 5 great ones to add to your list), by ALEX COOP on SEPTEMBER 30, 2021    in the SAS Blog. 

Since 2015, the number of Americans who to listen to at least one podcast per month has increased by approximately 40 million people. The number of podcast listeners has also ballooned globally in tandem with a rise in smart speaker adoption. People are consuming them at home, on the go and at work.

In many cases, podcasting has become a legitimate substitute for traditional advertising. Corporations understand the value of creating something that people want to consume instead of ads that listeners ignore.

It's been a pleasant surprise watching a personal podcast palette consisting of news, sports, video game and cybersecurity commentary invaded by branded podcasts covering a host of other topics. And while none of these branded podcasts crack the Top 50 list for most weekly listeners, some of them are legitimately worth your time. .... '

Tuesday, October 05, 2021

Saving Capitalism

A podcast of interest,  based on my employers of the past,  plan to listen to.

First He Saved Unilever. Now He Wants to Save Capitalism.

HBR IdeaCast

Paul Polman, former CEO of Unilever, led a dazzling career in consumer goods, from Procter & Gamble to Nestlé to the British multinational. His experience fending off a hostile takeover bid taught him that the doctrine of shareholder capitalism is wrong. He believes there’s a better way of doing business, one that embraces all stakeholders — not just stockholders — and improves the environment. He cofounded the consultancy IMAGINE to further sustainable goals, and he shares his advice for the next generation of leaders. With Andrew Winston, Polman wrote the new book “Net Positive: How Courageous Companies Thrive by Giving More than They Take”.

Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/hbr-ideacast/id152022135?i=1000537615229

Friday, June 25, 2021

Causal Machine Learning

Another area we experimented with, causal elements in the AI knowledge being used.  Would have liked to experiment with Alice. 

Microsoft Research Podcast

Econ2: Causal machine learning, data interpretability, and online platform markets featuring Hunt Allcott and Greg Lewis

Published June 2, 2021

Episode 122 | June 2, 2021 

In the world of economics, researchers at Microsoft are examining a range of complex systems—from those that impact the technologies we use to those that inform the laws and policies we create—through the lens of a social science that goes beyond the numbers to better understand people and society. 

In this episode, Senior Principal Researcher Dr. Hunt Allcott speaks with Microsoft Research New England office mate and Senior Principal Researcher Dr. Greg Lewis. Together, they cover the connection between causal machine learning and economics research, the motivations of buyers and sellers on e-commerce platforms, and how ad targeting and data practices could evolve to foster a more symbiotic relationship between customers and businesses. They also discuss EconML, a Python package for estimating heterogeneous treatment effects that Lewis has worked on as part of the ALICE (Automated Learning and Intelligence for Causation and Economics) project at Microsoft Research. ... "

Wednesday, June 23, 2021

Wharton says Robots are Coming, but Just for Your Management

Robots are Coming, is Your Firm ready?

Wharton’s Lynn Wu talks about her research on how automation is reshaping the workplace in unexpected ways.

Audio Player at the link above.

Use Up/Down Arrow keys to increase or decrease volume.

If you’re worried that robots are coming for your job, you can relax — unless you’re a manager.

A new survey-based study explains how automation is reshaping the workplace in unexpected ways. Robots can improve efficiency and quality, reduce costs, and even help create more jobs for their human counterparts. But more robots can also reduce the need for managers.

The study is titled “The Robot Revolution: Managerial and Employment Consequences for Firms.”   The co-authors are Lynn Wu, professor of operations, information and decisions at Wharton; Bryan Hong, professor of entrepreneurship and management at the University of Missouri Kansas City’s Bloch School of Management; and Jay Dixon, an economist with Statistics Canada. The researchers said the study, which analyzed five years’ worth of data on businesses in the Canadian economy, is the most comprehensive of its kind on how automation affects employment, labor, strategic priorities, and other aspects of the workplace.

Wu recently spoke with Knowledge@Wharton about the paper and its implications for firms. (Listen to her full interview in the podcast at the top of this page.)

More Robots, More Workers

Contrary to popular belief, robots are not replacing workers. While there is some shedding of employees when firms adopt robots, the data show that increased automation leads to more hiring overall. That’s because robot-adopting firms become so much more productive that they need more people to meet the increased demand in production, Wu explained.

“Any employment loss in our data we found came from the non-adopting firms,” she said. “These firms became less productive, relative to the adopters. They lost their competitive advantage and, as a result, they had to lay off workers.”  ... '

Wednesday, June 09, 2021

Podcast: Why Our Judgment is Flawed

 An important idea to understand,  and I think even our quick jump to assume that our judgments are wrong also needs to be better understood.   In ourselves and in our growing number of  machines. 

Daniel Kahneman on Why Our Judgment is Flawed — and What to Do About It (People I (Mostly) Admire Ep. 27)

May 14, 2021 @ 11:00pm

by Steven D. Levitt,  Produced by Morgan Levey

Nobel laureate, best-selling author, and groundbreaking psychologist Daniel Kahneman is also a friend and former business partner of Steve’s. In discussing Danny’s new book Noise: A Flaw in Human Judgment, the two spar over inconsistencies in criminal sentencing and Danny tells Steve that “Your attitude is unusual” — no surprise there.

Listen and follow on Apple Podcasts, Stitcher, Spotify, or wherever you get your podcasts.

Wednesday, June 02, 2021

Podcast: Forward Look into Inflation

Via Knowledge@Wharton:

Inflation: What Lies Ahead?

Subscribe on iTunes!

MIC LISTEN TO THE PODCAST (at the link) 

Wharton’s Itay Goldstein speaks with Wharton Business Daily on SiriusXM about how the Federal Reserve may respond to the recent rise in inflation.

Use Up/Down Arrow keys to increase or decrease volume.

The latest rise in the inflation rate to 4.2% for April 2021 has fueled expectations that the Federal Reserve could raise interest rates and tighten monetary policy. The rise in the consumer price index for all items is the largest 12-month increase since a 4.9% increase in September 2008, the U.S. Bureau of Labor Statistics (BLS) reported earlier this month.

In recent times, the Federal Reserve has been willing to accommodate higher inflation, but that stance could change with the unexpected pace of price increases in the latest data. “The Fed sent pretty clear and strong messages over the last year or so that it is not going to be deterred by signs of inflation, and that it’s going to keep a loose monetary policy and keep [interest] rates down,” said Wharton finance professor Itay Goldstein in an interview on the Wharton Business Daily radio show on SiriusXM. (Listen to the podcast at the top of this page.)

That position could now change as the inflation data for April “was quite alarming,” Goldstein continued. “No one really expected the number for inflation to be that high. So now we start seeing more expectation that maybe the Fed will eventually act and start raising rates and tighten monetary policy.” The federal funds target rate serves as the benchmark for bank interest rates and is currently in the range of 0% to 0.25%. The Federal Reserve has said it expects to keep its benchmark interest rate near zero through 2023.  ... " 

Tuesday, May 18, 2021

Grand Transitions

Makes you think.

A Theory of (Almost) Everything

A new book / Podcast  analyzes the seven grand transitions that have formed the modern world  By Steven Cherry

We’ve been speaking with Václav Smil, Distinguished Professor Emeritus at the University of Manitoba, Fellow of the Royal Society of Canada, Member of the Order of Canada, scholar extraordinaire, and author of a new must-read book:

Grand Transitions: How the Modern World Was Made.

 Steven Cherry Hi this is Steven Cherry for Radio Spectrum.

If there’s one thing we can all agree on, it’s that the world is not only changing quickly, it’s changing at a faster rate than ever. Or does it just seem that way?

Surely we can all agree that the Industrial Revolution has changed everything. Or has it? One noted economist says there in fact were three industrial revolutions, and only one of them—the second one, from about 1870 to 1914, was important. In fact he largely discounts what we call the information revolution as insubstantial.

If you wanted to study the great trends and transitions of civilization—not just Western Civilization, but all of it—and break it down into epochs, and choose from the various transitions the five or seven most significant ones, and study the interplays of these transitions—which are causes of the others, and to what degree, and why some occur quickly and others—like the electric car—are postponed for a hundred years; if you wanted to do all that, it would take a lifetime of study.

In fact, you’d have to write ten or thirty books each one of which looks at some aspect of our world from a height of 30,000 feet, and then write an eleventh or thirty-first book that was the encapsulation of all that wisdom.

That certainly seems impossible. The last true Renaissance person, someone who knew pretty much all that was known at the time, might have been Aristotle, with asterisks for Franklin and Diderot, and maybe Bertrand Russell.  ... ' 

Saturday, December 05, 2020

Podcasts via RSS Feed

New way to connect to podcasts


Subscribe to your favorite niche podcast

by Jon Fingas  In Engadget    Google Podcasts just became more alluring if you tend to listen to shows that aren’t always available on major podcast networks. 9to5Google reports that Google has added support for subscribing to podcasts using their RSS feeds. You just have to paste the raw address into the Android, iOS and web apps to have access to episodes across your devices.

You can add a podcast in the mobile app by tapping “Activity,” then the “Subscriptions” tab, and choosing “Add by RSS feed” from the overflow menu. We’ve given you the direct web link above, but you can always find it again by looking for “Add by RSS feed” in the navigation drawer.   ... '

Monday, November 23, 2020

StoryFit Analyzes Stories for Understanding

Again links to work we did for large advertisers using language analysis for marketing goals. 

Brought to my attention in a recent podcast on Artificial Intelligence by Bradley Netrock/.   interview with Monica Lander:

AI Company Storyfit studies films and books to understand them 

State of the Art Story Research, For Storytellers and Story Sellers

White Paper: https://www.storyfit.com/how-character-interactions-impact-drama-success?hsLang=en

Webinar https://www.storyfit.com/characterresearchregistrationpage?hsLang=en

StoryFit generates detailed data profiles of your properties so you can quickly find comps, discover story themes that appeal to niche audiences, search and re-market your back catalog, and make smarter decisions from development to marketing and merchandising. .... 

Run your project through our natural-language-processing software to generate a detailed profile of important story, character, and production-related metrics. Compare your script’s profile with our catalog containing the last 35+ years of films, find story themes that will resonate with audiences, predict your marketing budget, and more.  .... " 

Monday, November 09, 2020

Podcast from Recorded Future on Trickbot

Been following the security implications.  Here a podcast by former security connections at Recorded Future on the topic: 

Trickbot is Down But Not Out    By Caitlin Mattingly

On today’s podcast episode we welcome back Recorded Future’s senior intelligence analyst Greg Lesnewich.

He shares his insights on what goes on behind the scenes with the Recorded Future’s Insikt Group   , and why he finds the work challenging and rewarding. Then, we discuss the latest on the Trickbot global botnet, how they operate, who they target, and the efforts by the intelligence community and private industry to take them down, or at the very least hinder their efforts.  ... "