Watch full webinar here: https://bit.ly/3NfW25c In today’s turbulent economies, manufacturers and their supply chain partners know to improve time-to-value they need to accelerate the pace of operations and make better, informed decisions faster. That’s a challenge when petabytes of collected data may be trapped in disparate, siloed systems─ in the cloud, in a data center, or on an edge device. In this panel, subject matter experts will discuss how manufacturing and supply chain leaders can optimize time to data. And create the data-driven intelligence needed for faster time to decisions and deliver more customer value faster and at a lower cost.

1. Transforming Data Management
for the Cloud

2. Feeling the Pain in Supply Chain and
Manufacturing? A Logical Data Fabric May
be the Answer.
Joanne Friedman, Ph.D.
CEO / Principal, Smart Manufacturing
Connektedminds, Inc.

4. Many companies fall into the trap of a
technology-first mindset, believing that
technology alone can solve all their
problems and drive business success.
Technology can only enable.

5. When organizations prioritize technology over business strategy and user
needs, they risk overlooking critical considerations such as organizational
readiness, cultural resistance, and lack of training and support.
Without considering the needs of
the workforce attrition rises 23%
at a time of severe labor
shortages. - McKinsey

6. • 71% of digital transformation fails.
• 35% stall or are abandoned before
implementation

7. Think Big. Move Fast. Phase-In.
An ambitious transformation plan goes well
beyond cost cutting and driving operational
efficiency; it sets a higher performance
trajectory for the company, while building
agility, adaptability and resiliency.
Prioritize:
• Strategy over Technology
• Context over Content
• Human Centered Design VS Technology First

8. STRATEGY OVER TECHNOLOGY.

9. Smart Manufacturing [subset]
• Aims to improve productivity, reduce downtime,
and increase efficiency in the manufacturing
process
• Refers to the use of advanced technologies, such
as AI, IoT, Robotics, and Cloud Computing, to
optimize production processes and increase
efficiency
• Emphasizes the use of data analytics and
machine learning algorithms to optimize
production processes
• Characterized by the use of machines, devices,
and systems that work together to optimize
production processes
• Focuses on the optimization of production
processes through the use of advanced
technologies
• Industry 4.0
• Aims to create a more efficient, flexible, and
responsive manufacturing ecosystem
• Refers to transforming the manufacturing sector
through the integration of advanced technologies
• Emphasizes the integration of physical and digital
technologies to create a seamless manufacturing
environment
• Characterized by increased automation,
digitization, and interconnectivity of machines
and systems
• Focuses on the interconnectivity of machines and
systems to create a smart factory environment
CONTEXT OVER CONTENT

10. What information do
we need to get the
insights we want?
What insights do we
need to make more
informed decisions,
faster?
So how can we get to the
data to create the
information to give us the
insight to make better
decisions faster?
Lets discuss it with our
panel
HUMAN CENTERED DESIGN vs TECHNOLOGY FIRST
What data do we
collect to get the
information we
need?

12. Feeling the Pain in Supply Chain and Manufacturing?
A Logical Data Fabric May be the Answer.
CEO | Principal, Smart
Manufacturing
Connektedminds, Inc.
Joanne Friedman, Ph.D.
Enterprise Data Account Executive
Denodo
Dave Nixon
Managing Partner
W5
Darrin Joncas
Senior Manager
ASML
Dr. Sathyan Munirathinam
Executive Manager, Data Analytics
Hastings Deering
Dimuth Samaranayaka

13. Thank you!