When deciding on a machine learning conference, why go to Machine Learning Week 2020? This five-conference event May 31 June 4, 2020 at Caesars Palace, Las Vegas delivers brand-name, cross-industry, vendor-neutral case studies purely on machine learnings commercial deployment, and the hottest topics and techniques. In this video, Predictive Analytics World Founder Eric Siegel spills on the details and lists five reasons this is the most valuable machine learning event to attend this year.
Note: This article is based on the transcript of a special episode of The Dr. Data Show click here to view.
In this article, I give five reasons that Machine Learning Week May 31 June 4, 2020 at Caesars Palace, Las Vegas is the most valuable machine learning event to attend this year. MLW is the largest annual five-conference blow-out part of the Predictive Analytics World conference series, of which I am the founder.
First, some background info. Your business needs machine learning to thrive and even just survive. You need it to compete, grow, improve, and optimize. Your team needs it, your boss demands it, and your career loves machine learning.
And so we bring you Predictive Analytics World, the leading cross-vendor conference series covering the commercial deployment of machine learning. By design, PAW is where to meet the whos who and keep up on the latest techniques.
This June in Vegas, Machine Learning Week brings together five different industry-focused events: PAW Business, PAW Financial, PAW Industry 4.0, PAW Healthcare, and Deep Learning World. This is five simultaneous two-day conferences all happening alongside one another at Caesars Palace in Vegas. Plus, a diverse range of full-day training workshops, which take place in the days just before and after.
Machine Learning Week delivers brand-name, cross-industry, vendor-neutral case studies purely on machine learning deployment, and the hottest topics and techniques.
This mega event covers all the bases for both senior-level expert practitioners as well as newcomers, project leaders, and executives. Depending on the topic, sessions and workshops are either demarcated as the Expert/practitioner level, or for All audiences. So, you can bring your team, your supervisor, and even the line-of-business managers you work with on model deployment. About 60-70% of attendees are on the hands-on practitioner side, but, as you know, successful machine learning deployment requires deep collaboration between both sides of the equation.
PAW and Deep Learning World also takes place in Germany, and Data Driven Government takes place in Washington DC but this article is about Machine Learning Week, so see predictiveanalyticsworld.com for details about the others.
Here are the five reasons to go.
Five Reasons to Go to Machine Learning Week June 2020 in Vegas
1) Brand-name case studies
Number one, youll access brand-name case studies. At PAW, youll hear directly from the horses mouth precisely how Fortune 500 analytics competitors and other companies of interest deploy machine learning and the kind of business results they achieve. More than most events, we pack the agenda as densely as possible with named case studies. Each day features a ton of leading in-house expert practitioners who get things done in the trenches at these enterprises and come to PAW to spill on the inside scoop. In addition, a smaller portion of the program features rock star consultants, who often present on work theyve done for one of their notable clients.
2) Cross-industry coverage
Number two, youll benefit from cross-industry coverage. As I mentioned, Machine Learning Week features these five industry-focused events. This amounts to a total of eight parallel tracks of sessions.
Bringing these all together at once fosters unique cross-industry sharing, and achieves a certain critical mass in expertise about methods that apply across industries. If your work spans industries, Machine Learning Week is one-stop shopping. Not to mention that convening the key industry figures across sectors greatly expands the networking potential.
The first of these, PAW Business, itself covers a great expanse of business application areas across many industries. Marketing and sales applications, of course. And many other applications in retail, telecommunications, e-commerce, non-profits, etc., etc.
The track topics of PAW Business 2020
PAW Business is a three-track event with track topics that include: analytics operationalization & management i.e., the business side core machine learning methods and advanced algorithms i.e., the technical side innovative business applications covered as case studies, and a lot more.
PAW Financial covers machine learning applications in banking including credit scoring insurance applications, fraud detection, algorithmic trading, innovative approaches to risk management, and more.
PAW Industry 4.0 and PAW Healthcare are also entire universes unto themselves. You can check out the details about all four of these PAWs at predictiveanalyticsworld.com.
And the newer sister event Deep Learning World has its own website, deeplearningworld.com. Deep learning is the hottest advanced form of machine learning with astonishing, proven value for large-signal input problems, such as image classification for self-driving cars, medical image processing, and speech recognition. These are fairly distinct domains, so Deep Learning World does well to complement the four Predictive Analytics World events.
3) Pure-play machine learning content
Number three, youll get pure-play machine learning content. PAWs agenda is not watered down with much coverage of other kinds of big data work. Instead, its ruthlessly focused specifically on the commercial application of machine learning also known as predictive analytics. The conference doesnt cover data science as a whole, which is a much broader and less well-defined area, that, for example, can include standard business intelligence reporting and such. And we dont cover AI per se. Artificial intelligence is at best a synonym for machine learning that tends to over-hype, or at worst an outright lie that promises mythological capabilities.
4) Hot new machine learning practices
Number four, youll learn the latest and greatest, the hottest new machine learning practices. Now, we launched PAW over a decade ago, so far delivering value to over 14,000 attendees across more than 60 events. To this day, PAW remains the leading commercial event because we keep up with the most valuable trends.
For example, Deep Learning World, which launched more recently in 2018 covers deep learnings commercial deployment across industry sectors. This relatively new form of neural networks has blossomed, both in buzz and in actual value. As I mentioned, it scales machine learning to process, for example, complex image data.
And what had been PAW Manufacturing for some years has now changed its name to PAW Industry 4.0. As such, the event now covers a broader area of inter-related work applying machine learning for smart manufacturing, the Internet of Things (IoT), predictive maintenance, logistics, fault prediction, and more.
In general, machine learning continues to widen its adoption and apply in new, innovative ways across sectors in marketing, financial risk, fraud detection, workforce optimization, and healthcare. PAW keeps up with these trends and covers todays best practices and the latest advanced modeling methods.
5) Vendor-neutral content
And finally, number five, youll access vendor-neutral content. PAW isnt run by an analytics vendor and the speakers arent trying to sell you on anything but good ideas. PAW speakers understand that vendor-neutral means those in attendance must be able to implement the practices covered and benefit from the insights delivered without buying any particular analytics product.
During the event, some vendors are permitted to deliver short presentations during a limited minority of demarcated sponsored sessions. These sessions often are also substantive and of great interest. In fact, you can access all the sponsors and tap into their expertise at will in the exhibit hall, where theyre set up for just that purpose.
By the way, if youre an analytics vendor yourself, check out PAWs various sponsorship opportunities. Our events bring together a great crowd of practitioners and decision makers.
Summary Five Reasons to Go
1) Brand-name case studies
2) Cross-industry coverage
3) Pure-play machine learning content
4) Hot new machine learning practices
5) Vendor-neutral content
and those are the reasons to come to Machine Learning Week: brand-name, cross-industry, vendor-neutral case studies purely on machine learnings commercial deployment, and the hottest topics and techniques.
Machine Learning Week not only delivers unique knowledge-gaining opportunities, its also a universal meeting place the industrys premier networking event. It brings together the whos who of machine learning and predictive analytics, the greatest diversity of expert speakers, perspectives, experience, viewpoints, and case studies.
This all turns the normal conference stuff into a much richer experience, including the keynotes, expert panels, and workshop days, as well as opportunities to network and talk shop during the lunches, coffee breaks, and reception.
I encourage you to check out the detailed agenda see all the speakers, case studies, and advanced methods covered. Each of the five conferences has its own agenda webpage, or you can also view the entire five-conference, eight-track mega-agenda at once. This view pertains if youre considering registering for the full Machine Learning Week pass, or if youll be attending along with other team members in order to divide and conquer.
Visit our website to see all these details, register, and sign up for informative event updates by email.
Or to learn more about the field in general, check out our Predictive Analytics Guide, our publication The Machine Learning Times, which includes revealing PAW speaker interviews, and, episodes of this show, The Dr. Data Show which, by the way, is generally about the field of machine learning in general, rather than about our PAW events.
This article is based on a transcript from The Dr. Data Show.
CLICK HERE TO VIEW THE FULL EPISODE
About the Dr. Data Show. This new web series breaks the mold for data science infotainment, captivating the planet with short webisodes that cover the very best of machine learning and predictive analytics. Click here to view more episodes and to sign up for future episodes of The Dr. Data Show.
About the Author
Eric Siegel, Ph.D., founder of the Predictive Analytics Worldand Deep Learning World conference series and executive editor ofThe Machine Learning Times, makes the how and why of predictive analytics (aka machine learning) understandable and captivating. He is the author of the award-winning bookPredictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, the host of The Dr. Data Show web series, a former Columbia University professor, and a renowned speaker, educator, and leader in the field. Follow him at @predictanalytic.
- Are We Overly Infatuated With Deep Learning? - Forbes [Last Updated On: August 18th, 2024] [Originally Added On: December 28th, 2019]
- CMSWire's Top 10 AI and Machine Learning Articles of 2019 - CMSWire [Last Updated On: August 18th, 2024] [Originally Added On: December 28th, 2019]
- Can machine learning take over the role of investors? - TechHQ [Last Updated On: August 18th, 2024] [Originally Added On: December 28th, 2019]
- Pear Therapeutics Expands Pipeline with Machine Learning, Digital Therapeutic and Digital Biomarker Technologies - Business Wire [Last Updated On: August 18th, 2024] [Originally Added On: January 11th, 2020]
- Dell's Latitude 9510 shakes up corporate laptops with 5G, machine learning, and thin bezels - PCWorld [Last Updated On: August 18th, 2024] [Originally Added On: January 11th, 2020]
- Limits of machine learning - Deccan Herald [Last Updated On: August 18th, 2024] [Originally Added On: January 11th, 2020]
- Forget Machine Learning, Constraint Solvers are What the Enterprise Needs - - RTInsights [Last Updated On: August 18th, 2024] [Originally Added On: January 11th, 2020]
- Tiny Machine Learning On The Attiny85 - Hackaday [Last Updated On: August 18th, 2024] [Originally Added On: January 11th, 2020]
- Finally, a good use for AI: Machine-learning tool guesstimates how well your code will run on a CPU core - The Register [Last Updated On: August 18th, 2024] [Originally Added On: January 11th, 2020]
- How Will Your Hotel Property Use Machine Learning in 2020 and Beyond? | - Hotel Technology News [Last Updated On: August 18th, 2024] [Originally Added On: January 11th, 2020]
- Technology Trends to Keep an Eye on in 2020 - Built In Chicago [Last Updated On: August 18th, 2024] [Originally Added On: January 11th, 2020]
- AI and machine learning trends to look toward in 2020 - Healthcare IT News [Last Updated On: August 18th, 2024] [Originally Added On: January 11th, 2020]
- The 4 Hottest Trends in Data Science for 2020 - Machine Learning Times - machine learning & data science news - The Predictive Analytics Times [Last Updated On: August 18th, 2024] [Originally Added On: January 11th, 2020]
- The Problem with Hiring Algorithms - Machine Learning Times - machine learning & data science news - The Predictive Analytics Times [Last Updated On: August 18th, 2024] [Originally Added On: January 11th, 2020]
- Going Beyond Machine Learning To Machine Reasoning - Forbes [Last Updated On: August 18th, 2024] [Originally Added On: January 11th, 2020]
- Doctor's Hospital focused on incorporation of AI and machine learning - EyeWitness News [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Being human in the age of Artificial Intelligence - Deccan Herald [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Raleys Drive To Be Different Gets an Assist From Machine Learning - Winsight Grocery Business [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Break into the field of AI and Machine Learning with the help of this training - Boing Boing [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- BlackBerry combines AI and machine learning to create connected fleet security solution - Fleet Owner [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- What is the role of machine learning in industry? - Engineer Live [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Seton Hall Announces New Courses in Text Mining and Machine Learning - Seton Hall University News & Events [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Christiana Care offers tips to 'personalize the black box' of machine learning - Healthcare IT News [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Leveraging AI and Machine Learning to Advance Interoperability in Healthcare - - HIT Consultant [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Essential AI & Machine Learning Certification Training Bundle Is Available For A Limited Time 93% Discount Offer Avail Now - Wccftech [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Educate Yourself on Machine Learning at this Las Vegas Event - Small Business Trends [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- 2020: The year of seeing clearly on AI and machine learning - ZDNet [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- How machine learning and automation can modernize the network edge - SiliconANGLE [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Don't want a robot stealing your job? Take a course on AI and machine learning. - Mashable [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Adventures With Artificial Intelligence and Machine Learning - Toolbox [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Optimising Utilisation Forecasting with AI and Machine Learning - Gigabit Magazine - Technology News, Magazine and Website [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Machine Learning: Higher Performance Analytics for Lower ... [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Machine Learning Definition [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Machine Learning Market Size Worth $96.7 Billion by 2025 ... [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Difference between AI, Machine Learning and Deep Learning [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Machine Learning in Human Resources Applications and ... [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Pricing - Machine Learning | Microsoft Azure [Last Updated On: August 18th, 2024] [Originally Added On: January 19th, 2020]
- Looking at the most significant benefits of machine learning for software testing - The Burn-In [Last Updated On: August 18th, 2024] [Originally Added On: January 22nd, 2020]
- New York Institute of Finance and Google Cloud Launch A Machine Learning for Trading Specialization on Coursera - PR Web [Last Updated On: August 18th, 2024] [Originally Added On: January 22nd, 2020]
- Uncover the Possibilities of AI and Machine Learning With This Bundle - Interesting Engineering [Last Updated On: August 18th, 2024] [Originally Added On: January 22nd, 2020]
- Red Hat Survey Shows Hybrid Cloud, AI and Machine Learning are the Focus of Enterprises - Computer Business Review [Last Updated On: August 18th, 2024] [Originally Added On: January 22nd, 2020]
- Machine learning - Wikipedia [Last Updated On: August 18th, 2024] [Originally Added On: January 22nd, 2020]
- Vectorspace AI Datasets are Now Available to Power Machine Learning (ML) and Artificial Intelligence (AI) Systems in Collaboration with Elastic -... [Last Updated On: August 18th, 2024] [Originally Added On: January 22nd, 2020]
- Learning that Targets Millennial and Generation Z - HR Exchange Network [Last Updated On: August 18th, 2024] [Originally Added On: January 23rd, 2020]
- Machine learning and eco-consciousness key business trends in 2020 - Finfeed [Last Updated On: August 18th, 2024] [Originally Added On: January 24th, 2020]
- Jenkins Creator Launches Startup To Speed Software Testing with Machine Learning -- ADTmag - ADT Magazine [Last Updated On: August 18th, 2024] [Originally Added On: January 24th, 2020]
- Research report investigates the Global Machine Learning In Finance Market 2019-2025 - WhaTech Technology and Markets News [Last Updated On: August 18th, 2024] [Originally Added On: January 25th, 2020]
- Expert: Don't overlook security in rush to adopt AI - The Winchester Star [Last Updated On: August 18th, 2024] [Originally Added On: January 25th, 2020]
- Federated machine learning is coming - here's the questions we should be asking - Diginomica [Last Updated On: August 18th, 2024] [Originally Added On: January 25th, 2020]
- I Know Some Algorithms Are Biased--because I Created One - Scientific American [Last Updated On: August 18th, 2024] [Originally Added On: February 1st, 2020]
- Iguazio Deployed by Payoneer to Prevent Fraud with Real-time Machine Learning - Business Wire [Last Updated On: August 18th, 2024] [Originally Added On: February 1st, 2020]
- Want To Be AI-First? You Need To Be Data-First. - Forbes [Last Updated On: August 18th, 2024] [Originally Added On: February 1st, 2020]
- How Machine Learning Will Lead to Better Maps - Popular Mechanics [Last Updated On: August 18th, 2024] [Originally Added On: February 1st, 2020]
- Technologies of the future, but where are AI and ML headed to? - YourStory [Last Updated On: August 18th, 2024] [Originally Added On: February 1st, 2020]
- In Coronavirus Response, AI is Becoming a Useful Tool in a Global Outbreak - Machine Learning Times - machine learning & data science news - The... [Last Updated On: August 18th, 2024] [Originally Added On: February 1st, 2020]
- This tech firm used AI & machine learning to predict Coronavirus outbreak; warned people about danger zones - Economic Times [Last Updated On: August 18th, 2024] [Originally Added On: February 1st, 2020]
- 3 books to get started on data science and machine learning - TechTalks [Last Updated On: August 18th, 2024] [Originally Added On: February 1st, 2020]
- JP Morgan expands dive into machine learning with new London research centre - The TRADE News [Last Updated On: August 18th, 2024] [Originally Added On: February 1st, 2020]
- Euro machine learning startup plans NYC rental platform, the punch list goes digital & other proptech news - The Real Deal [Last Updated On: August 18th, 2024] [Originally Added On: February 1st, 2020]
- The ML Times Is Growing A Letter from the New Editor in Chief - Machine Learning Times - machine learning & data science news - The Predictive... [Last Updated On: August 18th, 2024] [Originally Added On: February 1st, 2020]
- Top Machine Learning Services in the Cloud - Datamation [Last Updated On: August 18th, 2024] [Originally Added On: February 1st, 2020]
- Combating the coronavirus with Twitter, data mining, and machine learning - TechRepublic [Last Updated On: August 18th, 2024] [Originally Added On: February 1st, 2020]
- Itiviti Partners With AI Innovator Imandra to Integrate Machine Learning Into Client Onboarding and Testing Tools - PRNewswire [Last Updated On: August 18th, 2024] [Originally Added On: February 2nd, 2020]
- Iguazio Deployed by Payoneer to Prevent Fraud with Real-time Machine Learning - Yahoo Finance [Last Updated On: August 18th, 2024] [Originally Added On: February 2nd, 2020]
- ScoreSense Leverages Machine Learning to Take Its Customer Experience to the Next Level - Yahoo Finance [Last Updated On: August 18th, 2024] [Originally Added On: February 2nd, 2020]
- How Machine Learning Is Changing The Future Of Fiber Optics - DesignNews [Last Updated On: August 18th, 2024] [Originally Added On: February 2nd, 2020]
- How to handle the unexpected in conversational AI - ITProPortal [Last Updated On: August 18th, 2024] [Originally Added On: February 5th, 2020]
- SwRI, SMU fund SPARKS program to explore collaborative research and apply machine learning to industry problems - TechStartups.com [Last Updated On: August 18th, 2024] [Originally Added On: February 5th, 2020]
- Reinforcement Learning (RL) Market Report & Framework, 2020: An Introduction to the Technology - Yahoo Finance [Last Updated On: August 18th, 2024] [Originally Added On: February 5th, 2020]
- ValleyML Is Launching a Series of 3 Unique AI Expo Events Focused on Hardware, Enterprise and Robotics in Silicon Valley - AiThority [Last Updated On: August 18th, 2024] [Originally Added On: February 5th, 2020]
- REPLY: European Central Bank Explores the Possibilities of Machine Learning With a Coding Marathon Organised by Reply - Business Wire [Last Updated On: August 18th, 2024] [Originally Added On: February 5th, 2020]
- VUniverse Named One of Five Finalists for SXSW Innovation Awards: AI & Machine Learning Category - PRNewswire [Last Updated On: August 18th, 2024] [Originally Added On: February 5th, 2020]
- AI, machine learning, robots, and marketing tech coming to a store near you - TechRepublic [Last Updated On: August 18th, 2024] [Originally Added On: February 5th, 2020]
- Putting the Humanity Back Into Technology: 10 Skills to Future Proof Your Career - HR Technologist [Last Updated On: August 18th, 2024] [Originally Added On: February 6th, 2020]
- Twitter says AI tweet recommendations helped it add millions of users - The Verge [Last Updated On: August 18th, 2024] [Originally Added On: February 6th, 2020]
- Artnome Wants to Predict the Price of a Masterpiece. The Problem? There's Only One. - Built In [Last Updated On: August 18th, 2024] [Originally Added On: February 6th, 2020]
- Machine Learning Patentability in 2019: 5 Cases Analyzed and Lessons Learned Part 1 - Lexology [Last Updated On: August 18th, 2024] [Originally Added On: February 6th, 2020]
- The 17 Best AI and Machine Learning TED Talks for Practitioners - Solutions Review [Last Updated On: August 18th, 2024] [Originally Added On: February 6th, 2020]
- Overview of causal inference in machine learning - Ericsson [Last Updated On: August 18th, 2024] [Originally Added On: February 6th, 2020]
- Manchester Digital unveils 72% growth for digital businesses in the region - Education Technology [Last Updated On: August 18th, 2024] [Originally Added On: February 13th, 2020]