Innovative Applications for AI -- Seminar



Référence de la formation

KDS011

Niveau

  • Beginner
  • Intermediate

Nombre de jours

1 Day

Prix

688,50 € HT

Lieu de la formation

V: v-learning, virtual class



Pre-requis

None

Public

Project Managers, Product people and Managers, Developers and
Architects who wants to know about AI.

Objectifs de la formation

Machine learning and other AI technologies break software limitations and are especially proficient at solving problems and providing
insights that couldn’t be achieved with conventional technology.
Artificial Intelligence will significantly expand the capabilities of technology to go above and beyond their current boundaries and will
allow decision makers to create meaningful competitive advantages and even new product categories. The Innovative Solutions for AI seminar is aimed at managers and decision-makers to allow them an understanding of this technology and its capabilities and to give them the tools to make decisions for competitive advantages. We will review many industries – automotive, retail and marketing, health care, security – that are already using this technology to break free from the boundaries of the past. Specific case studies in retail and market analytics, computer vision, and automotive will be examined.
Most importantly, we gain an understanding of the principles and scope of this technology.

Contenu du cours

Table 1: KDS011 - Course Contents
Chapter Description
Introduction In this talk we will review the different domains we have in AI, focusing mainly on
machine learning and NLP. We’ll describe a few popular algorithms in machine learning
and how we use them in the retail market, CRM and Cyber-security domains.
We will then review the work of a data scientist, from data preparation to data
validation, to more advanced topics like model calibration and data science in the cloud.
When Technology
Meets Reality:
The Wide Scope
of Machine Learning
Applications

In recent years, machine learning has movedfrom research into reality. From automotive to
healthcare and from cyber security to marketing. Everywhere we see projects,
products and initiatives intent on harnessing this technology and thus overcoming past
performance limitations. The lecture will review the wide scope of target industries together
with their associated use cases. Special attention will be given to current market trends and
prominent projects.

Data science in the Retail
market
We will review the main challenges marketers have in the retail domain and different
approaches that can be used to handle them.We then learn about common pitfalls that we
face if our model is not carefully designed. We finish with an example of a model that
achieves high scores when run on a real supermarket chain’s data.
Computer Vision Computer vision is one of the most highly used machine learning fields. It is used by many
industries, such as medical, automotive, robotics, defense and more. Our lecture will
serve as an introductory review to computer vision, its uses, solutions, methods and
relevant markets. It will start with the general picture, then we will go through the various
applications which will be followed by a thorough market review.
Creating Automotive
Intelligence-Machine
Learning in Automotive
With the current technological transition occurring in the automotive industry, machine
learning is becoming an enabling technology for the entire market. It starts with customer
service, involving remote diagnostics and predictive maintenance, and continues with
eco-system industries such as insurance telematics and connected car service. Such
specified areas are only the appetizer–the most exciting challenges are in the areas of
autonomous vehicles and driving assistance features.
In this lecture we will review the various uses of artificial intelligence technologies in automotive and learn about the current status of their use in the industry. Special focus will be given to main players and also to attractive features. The lecture will include product demonstration clips.

Dates


03 Nov 2020 au 03 Nov 2020


NOTE :
ATTENTION CETTE FORMATION EST SUR MESURE
CE COURS EST REALISABLE TOUTE L'ANNEE AVEC UN MINIMUM DE 5 PARTICIPANTS


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