Dec, 1-2, 2023
10:00 AM - 1:00 PM
An intimate hands-on skill building program for C-Level executives, POWERED by Faculty from
About the DSAIRe

Kenya Association of Manufacturers (KAM), with its visionary leadership is initiating this process to transform the Manufacturing sector of Kenya, in association with CL Educate Ltd, that has been doing pioneering work in Africa with the Data Science AI Retreats (DSAIRe), having already conducted three such retreats in East Africa with over 45 CXO teams participating thus far. CL Educate envisions KAM and its member entities becoming the Engine of economic growth of not just Kenya, but entire Africa with Data Science and AI getting integrated with the organization growth strategies.

Over the last decade, technologies have been dramatically transforming industries. Technology cycles are shrinking faster now. Data Science and AI technologies are reducing the cycles to a few months, if not weeks.

“Asian Paints: India's biggest data science company that sells paints”, claims an HBR Case, about Asian Paints, studying how the company has become the leader across 60 countries, with data science at the heart. Today, over 60% of the Indian companies deploy data science to impact their top-line and bottom-line.

Data Science needs to be integral to every strategic move in any organization to catapult itself to the next orbit of growth, in the immediate future. The size and age of the organizations do not matter. The larger ones need to become nimble, and the younger or smaller, need to start on day one. No organization can be left behind in the fast-changing landscape. It will decide the leadership role of an entity in any industry that we look at. Yours will be no different.

The Data Science AI Retreat (DSAIRe) is an exclusive 2-day workshop aimed at C-suite executives, looking to better understand the role that Data Science and AI can play in business. The aim is for the cohort to understand how Data Science, AI & ML technologies are affecting every industry and gain practical knowledge on how to deploy these technologies to grow your business.

The 2-day learning retreat will focus on a hands-on approach towards solving business problems using Data Science and Machine Learning, in a relaxed setting aimed at personal connection and growth. The course has been designed to ensure participants can benefit without a background in programming.

Who Must Attend?
The Learning Experience
  • An overview of AI/ML - Introduction and Understanding the basic concepts
  • Understanding the potential of applying AI/ML in various domains
  • What is Big Data and handling it in data analytics, with multiple real-life examples.
  • How do we make our organizations ready to collect the relevant data
  • Making the data work for the organization – collection, curation, visualization
  • Effectiveness of AI/ML techniques – understanding relevant buzzwords and models
    • Supervised vs Unsupervised Algorithms
    • Solving prediction problems (Classification & regression)
    • Parametric Vs Non-parametric
    • Local Vs Global
    • Basics of R, Python
    • Awareness building of other relevant packages.
    • Robotic AI, Industry 4.0, Generative AI, Fair & Ethical AI
    • Unified models
    • Integrating domain knowledge into Data Science
    • ML based Image Recognition Deep Learning - Artificial Neural network implementation in industries Natural Language Processing - predicting sentiment of customers through their social media messaging.
    • Market basket analysis using Association Rule Mining - see how a retail outlet increases sales using ML.
    • Building your Own Voice Bots (Alexa)
    • Customer Segmentation - Use clustering algorithms to align marketing.
    • Challenges that are endemic across the countries of the continent of Africa – How Data Scientists are solving these problems using AI/ML
  • Your time Your choice - Audience Choice session – Free wheeling on concepts discussed and Ideation session lead by the participants.
What to expect
  • Learn critically relevant skills in AI/ML with no prior programming or IT knowledge.
  • Learn in a relaxed and intimate environment, with college-like
         deadlines and the chance to connect with others on the same journey.
  • Gain familiarity with machine language vocabulary, hands-on usage of various algorithms
  • Ideate on how AI/ML can be used in your business context or effective governance.
What you need to bring along
  • Wi-Fi enabled laptop.
  • A sense of curiosity and a learning attitude
Investment involved:

Over the last 11 DSAIRes in Dubai/Singapore/India the investment has been $2500pax + Taxes
For the inaugural KAM DSAIRe, we have got the best offer.

(Participation Fees: quoted below are exclusive of applicable taxes)

1. Regular Individual participation Fees is: $1000pax + Tax

Team Offers:
2. For startups, and smaller organizations: 2+1 offer:

Enroll 2 get 50% off for 3rd (a discount of 16% approx.) + Tax.
So, Net will be $2500 + Tax, for a team of 3

3. For larger organizations: 4+1 offer:

Enroll 4 get 1 free (a discount of 20%) + Tax.
So, net will be $4000 + Tax, for a team of 5

Register now

Faculty for the Data Science Retreat
DSAIRe Africa Testimonials
Testimonials
What the Founders and C-suite executives say
Reflections of Yatish Rajawat, Senior journalist and an alum of the CXO ML retreat at Goa.

Very few people go to Goa and sit inside a glass building to learn about machine learning. But recently I did it along with a small cohort of a very diverse set of people The hype around machine learning (ML), neural networks, and artificial intelligence is at its peak. Hardly a conversation goes by that does not mention these words many times... Read More

K Yatish Rajawat

Public Policy | Journalist | Upskilling Ideas
Digital Communities | Startups

Event details

The Data Science AI Retreat:
KAM Kenya Edition

March 21-22, 2025
8:00 AM - 6:00 PM
Nairobi, Kenya

Contact us on email through:

manufacturingacademy@kam.co.ke OR
Suzy Nzuki: suzy.nzuki@kam.co.ke OR
Gilbert Rutto: gilbert.rutto@kam.co.ke

Mobile No: +254 (0) 722201368, 734646005

Tele. No: +254 (020) 2324817