The modern Data Scientist has to be good with a wide range of technologies. Which ones are most valuable to master? When is best to use them? What are they best suited to handle? We invite all Data Scientists (as well we those working directly with Data Science Teams) to join us for an interview style presentation focused on walking you through what we deem to be the ‘best products to know’ in 2019.
Join us for this session where we will dive into the hype and uncover the real solutions behind the Supply Chain AI buzzwords. The evolution of Artificial Intelligence will continue to create tremendous value across supply chains in all industries. The challenge for us is to continue to demystify what the market is talking about, translate that into solutions for our businesses, and implement what drives real value to our bottom line.
My inner what? Your inner Jasmine. ‘Jasmine’ is an essential persona in any company’s AI success. Join us for this month’s academy to find out how Jasmine navigates through the complex world of algorithms without being a data scientist herself. In this session we will provide you with frameworks and cases centered on application rather than just science. Our goal is to equip you with the ability to ‘think like Jasmine’ and improve your ability to discover, define and champion valuable AI solutions within your own organization.
In this session we will discuss AI solutions fueling success in the face of rising Ecommerce demands. These solutions enable cross channel coordination, help create the ideal balance between speed and cost in your supply chain and provide a much deeper understanding of customers. Whether you are a retailer, in an adjacent industry, or simply want to improve, the opportunity to revamp the way your operations respond and react is more attainable than you ever thought.
Hoping to avoid learning AI lessons the hard way? Join us as we dissect real examples of common AI implementation mistakes, addressing where businesses made a wrong turn and identifying how those missteps might have been avoided altogether.
Last July, we introduced the topic of AI Applications making a big impact within supply chain planning functions. This trend has continued to grow and reinvent the way companies are driving both efficiency and effectiveness across operations.
Review this session where we dive into the many forms of automation being implemented at companies just like yours. We will define the many classes of automation, where they provide value, level of difficulty in implementation and how they fit into an enterprise's broader AI journey.
The Artificial Intelligence Movement rolled on in 2018. The market witnessed both the evolution of more mature technology as well as the release of many new applications that will continue to gain traction in the years to come.
In this academy session, we will walk you through our own best practices for converting algorithms into applications. We will showcase our platform, but also walk you through other common approaches - both commercial and open sourced. What works best for you will depend on where you are in your own AI journey.Don't miss this opportunity to learn more about and see examples of business value being created on the front lines through best in class deployment of AI.
This session will begin by defining Customer Experience, how it is changing and why it is important. We will share practical examples of how you can enhance these experiences using AI. We will then wrap up with a discussion on what this all means for the new skills needed in your organization.
In the last five years, technology-driven businesses like Amazon have benefited immensely from using Machine Learning (ML). By identifying complex and empirical relationships in data, ML improves customer service and predicts business outcomes such as inventory availability and demand forecasts. On the other hand, Optimization (aka Operations Research) is the backbone behind some of the most intelligent enterprise software ever built -- from managing electric grids to redesigning complex global supply chains to pricing cruise packages.
Lately, the popularity of the term AI has skyrocketed, and it often conjures up thoughts of Silicon Valley-esque stories: bots running your business or facial recognition unlocking every door in your house. When the idea of it seems beyond advanced but every software vendor knocking on your door claims to be doing it, deciphering its true value and the opportunities this presents becomes daunting.
In this webinar, we'll cover the basics of how IoT can make an impact within your operations, how IoT is more than collecting data (you need AI (Artificial Intelligence) as well) and we'll hit on some of the more advanced topics we see looming on the horizon. We will round out the discussion with our thoughts on the new types of skills you and your organization might need to succeed in this area.
Like any other business function, marketers need to measure ongoing performance in order to optimize their marketing spend. Over time, this task has become a much greater challenge due to an ever-increasing landscape of analytical approaches claiming to solve this exact problem.
Many firms are facing rising transportation costs, rising penalties for missing delivery windows (sometimes called OTIF), and pressure from customers for faster (and even same-day) delivery. It seems impossible to mitigate this. The truth is, there are many practical examples of applying analytics in order to alleviate or be proactive when it comes to dealing with this volatile and challenging transportation environment. From predicting carrier load acceptance to innovative analytics for last mile delivery strategies, companies must start using their data to find ways to better understand and plan around the current transportation landscape.
This session will take you through the details of what is new and why you may want to rethink how and what you are forecasting today.
Review this academy session, led by Opex Senior Research Associate and Lehigh University Professor Larry Snyder, as he introduces the leading-edge research on using Reinforcement Learning (RL) for Inventory Planning. He will discuss how and why RL improves upon the current inventory planning methods and demonstrate its value using our newly released Opex Analytics Beer Game. The game not only provides a fun web-based interface for introducing the Bullwhip Effect, but also has a RL module that can play the game, highlighting the concepts Larry will introduce in the session.
Companies strive to build inventory solutions that produce strong results and that can be used for years to come. In order to achieve this, they need to make sure that their science is strong (the inventory recommendations are correct), that the solution is well designed (so planners can easily use it and so that it strikes the right balance between automation and ability to override), and that it continues to produce better output over time (which is where machine learning fits in). This session will highlight our experience in building effective inventory systems and the lessons we have learned along the way.
Review this academy session led by Opex Partner Michael Watson, and Opex Sr. Research Associate Larry Snyder as they kick off our Inventory Series by walking you through the science of inventory optimization. This session will help you better understand the right way to model your inventory in order to remove working capital and improve service. We will cover the basics--because they are still powerful, still in use, and still misunderstood--as well as the latest, advanced topics. We will also point out practical industry applications you may find useful in your own inventory planning processes.
Do you walk away from every blog, white paper or webinar on Business Process Automation wondering how it could actually apply to your own organization? All of the large scale advanced automation examples are interesting but what you really need is some good hard examples of how others are successfully taking the first few ‘baby steps’ into the world of ‘automation’.
This session will introduce you to some of the ways that disruption risks are considered in supply chain optimization models. We will discuss some “triumphs and fails” that companies have experienced in recent years when faced with disruptions. Then we will review some fundamental supply chain optimization models (such as the EOQ model for inventory optimization and the p-median model for facility location) and discuss how these models can be extended to proactively protect against disruption risk. We will discuss the tradeoff between supply chain cost and supply chain risk to address the question, “is it worth it?”. Finally, we will discuss the first steps that companies might take when starting to add disruption risk to their supply chain planning.
Are you sick of hearing the term 'Open Source' thrown around but not really understanding what it is or more importantly whether it could be of value to your business? The truth is, the Open Source Market is strong and robust. Many open source tools offer advantages over the commercially available tools. By finding ways to take advantage of this open source software, you may be able to drive down the cost of projects in general and further enable new analysis of all kinds.
In this session, we will introduce this philosophy from an analytics perspective from start to finish. We will explore when it does or doesn't work, and highlight with cases based on our experience with clients across many different industries and functions. We will also provide some tips on getting your teams on board and implementing this methodology on a consistent basis.
As a professional trying to champion the Analytics charter within an organization, it is imperative to ensure that there is adequate financial funding to support the effort. Funding is needed to buy necessary tools, to get the right headcount, to get consulting support as appropriate and other activities such as training the team.
This session will introduce you to some analytics applications we have seen making a true difference within the planning function of companies. We will review the latest trends in incorporating machine learning into forecasting, using algorithms to address short-term corrections in frozen planning horizons, the addition of predictive analytics in managing inventory, the use of machine learning to optimize key parameters, as well as the automation of root cause analysis used to prevent operational issues before they occur. We will highlight use cases from our own experience, share best practices from our own implementations and highlight where the future of analytics in planning is headed.
With the ever growing availability of analytics technology solutions flooding the market these days, the task of wading through it all and determining what makes the most sense for your business's needs can be daunting at best. How does one get 'past' all the 'hype' and 'buzzwords' to the core benefits and drawbacks of all the options when determining what solutions to implement and even more importantly bring in-house.
Good storytelling and visualization are an important part of analytics. You need both to ensure that people understand the analysis and can take the appropriate action. It is vital to make sure your presentations tell the right story. Although there have been advances in visualization technology, we still see either too much emphasis on charts that look great but don’t convey what you want or too little use of the visualization technology. In both cases, you are missing a chance to get your message across.
If you do any research on the application of analytics within companies you will quickly come across articles discussing how companies like Harrah's (casinos), Capital One, and Google claim to use data to test almost every new business idea that comes across the table. That is, they don't let the most powerful person in the room make a decision based on opinion-- they rigorously test the ideas with data and pick the one that the data suggests is best. Some even claim they run as many as 15,000-20,000 tests per year! This may seem hard to believe from a feasibility point of view and makes you wonder what they are actually testing.
This Academy session will help you determine how your company should get started in building out the Analytics skillset required to stay competitive in today's markets. If you believe most of the articles talking about analytics recruiting today, you would think you need to somehow build a team composed of eleven ‘Tom Bradys’ of the analytics world. In reality though, we find that putting together an analytics team is no different than acting as the GM for any NFL team.
This Academy session will help managers figure out what they really need to know about Machine Learning. Algorithms have become an integral part of our lives and business -- your credit card company calls you when they sniff 'suspicious' activity, Amazon intelligently sorts products you see when shopping, and Google gives very realistic arrival times in Google Maps. These are all examples of machine learning. But, it is not just for high tech companies. Machine learning is becoming an integral part of all business. We will go beyond buzzwords and provide you with concrete definitions, help you understand why it can work better than the more traditional methods, and address not only the potential but also limitations of implementation.
This inaugural Academy Session aims to give you a solid foundation for truly understanding the full range of analytics; from the commonly understood descriptive category, to the new and growing predictive realm and of course, the ever powerful prescriptive solutions. These days the topic of 'open source software' often follows in the discussion of building out many analytics capabilities as well. We will discuss this category of software and the recent trends in its application of analytics solutions. So this is all good information, but how does your company get started?