Historically, most organizational decisions were the result of domain knowledge and intuitive understanding by senior executives, however modern businesses are much more complex and exhibit previously unseen levels of uncertainly. Having the ability to process and analyze massive amounts of data to support or contradict intuitions, unearth new insights, and predict the future is now vital to forward-thinking leaders.
Our 1-Day Deep Learning & Artificial Intelligence Leadership Seminar is designed to teach Decision Makers the frameworks, tools, and strategies required to ask the right questions, establish proper processes, scope projects, and build high-functioning Data Science teams. This is a domain-agnostic seminar designed to demystify the subject and provide strategic insight, so no technical background is required.
Structured into three sessions, this 1-day Leadership Seminar will provide you with a holistic, innovative, and actionable learning experience.
You will analyze A.I. & Deep Learning as a new and improved method for problem solving.
You will learn practical applications of A.I. & Deep Learning for things such as better understanding customers, optimizing your supply chain, maximizing your workforce, and identifying hidden insights within your data.
You will learn a suite of frameworks and garner valuable insights to effectively design a step-by-step blueprint that enables your organization to effectively embrace A.I. & Deep Learning. You will also learn to minimize risks and maximize value.
Our experience developing Data Centers of Excellence for many of the world’s leading companies has greatly influenced this seminar and enabled us to condense years of learning into a manageable time commitment. Join Soothsayer Analytics, Case Western Reserve University, and the International School of Engineering to break through the hype and learn how to usher in a new era for your organization.
Spent a fascinating day at an AI training class with Soothsayer Analytics. Professor Murthy Kolluru took us into a deep dive on how algorithms work and the immense power of these calculations. AI will change the world and how we interact with it. If you are not exploring AI your should start now.
At our company, we have been piloting robotic process automation, assisted decision making, and machine learning. Getting a deeper look into how the new technologies actually work and how they are able to achieve the results that they do is more tangible now and will allow me to be more confident in leading projects to roll out these capabilities.”
I’ve attended trainings that they’ve put on in the past and it’s really top notch stuff. You walk away with both conceptual and mathematical understanding of data science techniques, as well as code examples for how to apply them in your work. Highly recommended.
We initially engaged with Soothsayer Analytics on a week-long training session focused on a wide array of Data Science topics. The training was amazing and extremely well received across the board. This speaks to Soothsayer’s ability to tackle complex topics and break them down in a way that people at every level can understand and appreciate. Many participants reported that it was the best training that they had ever attended. Multiple use cases, tactical improvements, and the ability to leverage state-of-the-art Analytic techniques have come out of the training. From day one, Soothsayer’s intellectual ability was obvious, but we have been most impressed with their uncanny ability to provide context to problems. Our client engagement has been a very positive experience in which Soothsayer has met and/or exceeded our expectations. We have subsequently started working with them on a few Data Science projects, and this has also been a positive experience. I would recommend them to any company looking for a strong intellectual Data Science partner.
I found the Deep Learning and Artificial Intelligence leadership seminar very informative. First, the presentation was well-structured with clearly stated objectives. Second, and more importantly, the seminar provided a good overview of deep learning concepts and how to implement them at your company. The seminar consisted of three parts — deep learning, deep thinking, and deep strategies. The deep learning portion provided a good introduction and overview of the deep learning concepts. The deep-thinking section presented ideas for how an organization can transform itself into a deep learning organization. Finally, the deep strategies portion discussed building a roadmap to implement deep learning. While the seminar was only one day, it was very valuable. It provided the foundational concepts needed for implementing deep learning at an organization.
Soothsayer & INSOFE’s seminar is an excellent event to learn about capabilities of Deep Learning and how it can be applied across various industries. Coming to the event we did not know what to expect, and were pleasantly surprised by the amount of experience and knowledge Dr. Kolluru has in the field of Deep Learning. The biggest take away for us was the importance of and how to create better features. We also learned how to build more efficient systems by using cross-utilization. There are many seminars and companies to choose from, but if you are looking to shed some light on to how Deep Learning can be applied within your organization, I would highly recommend attending this seminar.
Amazing program that Dr. Murthy and the entire Soothsayer INSOFE team has developed. Truly groundbreaking in revolutionizing the way organizations approach traditional Data Science problems by leveraging the deep learning principles presented by this team.
INSOFE’s program on deep learning was excellent and insightful. It was very useful for me and my team. I liked the faculty’s passion & knowledge. I highly recommend it.
I thought Dr. Murthy’s course was interesting and informative, as well as, well organized…In terms of teaching, I appreciated learning about statistics-based analytical methods and when to apply them, as well as, receiving a refresher course on data mining and machine learning techniques.