During this ½-day Advanced Analytics workshop, DSI will provide powerful insights on Machine Learning and how industries can extract values from their data by leveraging Microsoft Machine Learning tools.

Deliverables

Overview of Artificial Intelligence

• The mass digitization of products and services has given rise to the era of big data on businesses, large and small. Data Science - the multidisciplinary blend of data inference, algorithm development, and technology - is the discipline focused on enabling smarter business decisions using the state-of-the-art Big Data Analytics and Machine learning tools.

Industry Use Cases

• The past decade has seen an unprecedented increase in the application of machine learning tools across a variety of industries. From driverless cars and to face detecting selfie apps, to automated chatbots and referral systems, Data Science has profoundly changed the way consumers interact with brands, products and services. Organizations are becoming increasingly aware of the potential value that can be extracted from their data.

Data Science at DSI

• At DSI, we adopt the Data Science Lifecycle process: A highly interconnected and non-linear procedure by which we collaboratively build a foundational business understanding for our clients, and progress to acquire the relevant data that will be used to design and deploy machine learning models that produce meaningful solutions to challenging problems.

We have worked with a variety of clients from a wide range of industries, including models that identify perishable food shipments that are probabilistically wasteful (thereby cutting losses and increasing efficiency), to developing financial forecast models that allowed for more accurate budgetary planning.

Actionable Next Steps

• Business Understanding
• Whiteboard session with clients to formulate hypothesis and determine key features
• Microsoft Tools