Driving Observability Through Machine Learning and Predictive Analytics

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This research from leading IT research firm Enterprise Management Associates (EMA) evaluated how machine learning changed the landscape of observability into a critical foundation of predictive analytics in driving business outcomes. These slides provide insights into this research, including: - Observability in today’s landscape - Implanting an observability solution in a hybrid, multi-cloud environment - Successes and challenges of implementing an observability solution - How observability enhances the data-driven journey - Key components of a successful observability solution

Technology

Driving Observability Through
Machine Learning and
Predictive Analytics
William Schoeppner
Research Director
wschoeppner@enterprisemanagement.com
Sponsored by . . .

Watch the On-Demand Webinar
• Driving Observability Through Machine Learning and Predictive
Analytics On-Demand Webinar:
https://info.enterprisemanagement.com/machine-learning-and-
predictive-analytics-webinar-ws
• Check out upcoming webinars from EMA here:
https://www.enterprisemanagement.com/freeResearch

| @ema_research
Featured Speaker
Will is an accomplished information technology
and business operations leader with more than 25
years of experience developing, managing, and
leading business operations, integrated
technology, and vendor management. Prior to
joining EMA, he led Strategy and Performance for
the Governor’s Office of Information Technology
as the Deputy Chief Strategy Officer.
© 2022 Enterprise ManagementAssociates, Inc. 3
| @ema_research
Will Schoeppner
Director of Research
Enterprise Management Associates

| @ema_research
Sponsor
© 2022 Enterprise ManagementAssociates, Inc. 4
| @ema_research

| @ema_research
The Maturity of
a Successful, Data-Driven
Organization
1 2 4
Agenda
© 2022 Enterprise ManagementAssociates, Inc. 5
3
The Foundation of Data
Management
Business Success
in Adapting ML/AI
to Observability
The Challenges in
a Complex Landscape
Trends in
Predictive Analytics
and Observability
5 6 7
Finding the
Right Observability
Solution
Summary
Observations

| @ema_research
Demographics
© 2022 Enterprise ManagementAssociates, Inc. 6
Total Qualified: 155
Location
Total: 1382
Company Size: 1,000+
49% US
17% France
16% Germany
17% UK

| @ema_research
Demographics
© 2022 Enterprise ManagementAssociates, Inc. 7

The Maturity of a
Successful, Data-
Driven Organization

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 9

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 10

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 11

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 12

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 14

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 15

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 16

Business Success in
Adapting ML/AI to
Observability

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 18

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 19

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 20

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 22

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 23

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 24

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 25

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 26

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 27

Trends in Predictive
Analytics and
Observability

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 29

Finding the Right
Observability Solution

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 31

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 32

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 33

| @ema_research
© 2022 Enterprise ManagementAssociates, Inc. 34

| @ema_research
Thanks to Research Sponsor
© 2022 Enterprise ManagementAssociates, Inc. 36
| @ema_research

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Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Angeliki Cooney

The action of the next cyber saga takes place in the mystical lands of the Asia-Pacific region, where the main characters began their digital activities in the middle of 2021 and qualitatively strengthened it in 2022. Corporate espionage, document theft, audio recordings, and data leaks from messaging platforms were all a matter of one day for Dark Pink. Their geographical focus may have started in the Asia-Pacific region, but their ambitions knew no bounds, targeting a European government ministry in a bold move to expand their portfolio. Their victim profile was as diverse as a UN meeting, targeting military organizations, government agencies, and even a religious organization. Because discrimination is not a fashionable agenda. In the world of cybercrime, they serve as a reminder that sometimes the most serious threats come in the most unassuming packages with a pink bow.

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Overkill Security

AXA XL - Insurer Innovation Award Americas 2024

The Digital Insurer

Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.

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Rustici Software

FWD Group - Insurer Innovation Award 2024

The Digital Insurer

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

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Driving Observability Through Machine Learning and Predictive Analytics

1. Driving Observability Through Machine Learning and Predictive Analytics William Schoeppner Research Director wschoeppner@enterprisemanagement.com Sponsored by . . .

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3. | @ema_research Featured Speaker Will is an accomplished information technology and business operations leader with more than 25 years of experience developing, managing, and leading business operations, integrated technology, and vendor management. Prior to joining EMA, he led Strategy and Performance for the Governor’s Office of Information Technology as the Deputy Chief Strategy Officer. © 2022 Enterprise ManagementAssociates, Inc. 3 | @ema_research Will Schoeppner Director of Research Enterprise Management Associates

5. | @ema_research The Maturity of a Successful, Data-Driven Organization 1 2 4 Agenda © 2022 Enterprise ManagementAssociates, Inc. 5 3 The Foundation of Data Management Business Success in Adapting ML/AI to Observability The Challenges in a Complex Landscape Trends in Predictive Analytics and Observability 5 6 7 Finding the Right Observability Solution Summary Observations

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