Dynatrace: Meet our captain of product and all things awesome, Steve Tack

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Through his work with our global customers, Steve is an expert on the rapid changes playing out in today's IT environments and the challenges this presents now and the future. In this session Steve will dive a little deeper into how we're shaking up the industry; he'll hit on our latest innovation and you'll get to learn why you need to join us on a journey of transition today.

Tecnología

Steve Tack
SVP Product Management,
Dynatrace
Meet our Captain of Product
and All Things Awesome
#Perform2018

Steve Tack, SVP Products
Your Dynatrace future

humans are linear by nature —
and technology is exponential.

If I take 30 steps linearly, I get to 30.
If I take 30 steps exponentially, I get to a billion.

20172015 201820142013
Answers not data
Automation not manual
All-in-one and more than ‘APM’
Built for the enterprise cloud

20172015 201820142013
AppMon
SyntheticDC RUM

Enterprise unified
monitoring
Cloud and digital
transformation

User Experience
Application
Services & processes
Platform
IaaS
Physical
Real-time application
topology discovery
Anomaly detection
Business impact analysis
Problem and root-cause analysis
BizDevOps insights
Automation & Orchestration Collaboration & Workflow Big data analytics
API integrations

The traditional approaches are perfectly suited
for a world that no longer exists.

Microservices, Containers and Serverless

100,000agents on a standard three-node cluster

Infra
Logs
AIOps
Users
APM
Users
Infra
LogsAIOps

Cloud & digital transformation
cloud initiatives, DevOps, NoOps, BizDevOps1
Unify enterprise monitoring
expand coverage and consolidate2
Plan your Dynatrace journey
action your roadmap with experts @ Innovation Center3

Dynatrace: Meet our captain of product and all things awesome, Steve Tack

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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Dynatrace: Meet our captain of product and all things awesome, Steve Tack

1. Steve Tack SVP Product Management, Dynatrace Meet our Captain of Product and All Things Awesome #Perform2018

2. Steve Tack, SVP Products Your Dynatrace future

4. Law of accelerating returns

5. humans are linear by nature — and technology is exponential.

6. If I take 30 steps linearly, I get to 30. If I take 30 steps exponentially, I get to a billion.

9. Who can still manage by Visio?

10. 5 ½ years ago in a Chicago hotel…

11. 20172015 201820142013 Answers not data Automation not manual All-in-one and more than ‘APM’ Built for the enterprise cloud

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14. 20172015 201820142013 AppMon SyntheticDC RUM

15. 2015 201820142013 2017 you are here

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17. Enterprise unified monitoring Cloud and digital transformation

18. relentless innovation

19. User Experience Application Services & processes Platform IaaS Physical Real-time application topology discovery Anomaly detection Business impact analysis Problem and root-cause analysis BizDevOps insights Automation & Orchestration Collaboration & Workflow Big data analytics API integrations

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34. The traditional approaches are perfectly suited for a world that no longer exists.

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36. Multichannel Digital Experience

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45. Multi-cloud Management

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52. Microservices, Containers and Serverless

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55. • Scalability slide

56. 100,000agents on a standard three-node cluster

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61. APM Infra Logs AIOps Users

62. Infra Logs AIOps Users APM Users Infra LogsAIOps

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64. How can you put this into action?

65. Cloud & digital transformation cloud initiatives, DevOps, NoOps, BizDevOps1 Unify enterprise monitoring expand coverage and consolidate2 Plan your Dynatrace journey action your roadmap with experts @ Innovation Center3

Dynatrace: Meet our captain of product and all things awesome, Steve Tack

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