Name: The impact of AIOps and GAI on modern observability
Start: 2024-02-08T22:05:00Z
End: 2024-02-08T22:05:51.000Z
Location: BrightTALK
Rating: 3.8

Watch and learn from experts, developers, and real-world Elastic users. Sign up to join us live, because there's nothing like being in the (virtual) room where it happens.

As enterprises expand their technology infrastructure, prioritizing and integrating modern observability design can enable them to manage increasingly complex and distributed systems while maintaining stability and resiliency. But how can you quantify the business benefits, costs, and risks associated with this investment?

In this webinar, we'll dig into this question with guest speakers from Forrester and WePay (a JPMorgan Chase company). You'll take away best practices to share with your team, including some tools and assets to substantiate your observability investments.

Highlights
The state of observability today
What leading organizations are looking for in their observability investments
How AI-powered observability can drive quantified business value

Quantifying the business benefits of AI-powered observability

Government and education leaders around the globe are thinking through how they can use generative AI to benefit the greater good, from student learning to national defense to citizen services.

As public sector leaders consider potential benefits, they are also faced with the very real impacts that generative AI may have on employees, data privacy, as well as ethics and compliance.

Join us for a fireside chat with IDC government analyst Adelaide O'Brien and Elastic distinguished architect Dave Erickson as they discuss trends, challenges, and the emerging landscape of generative AI in the public sector.

A few of the topics we'll cover:

Early generative AI use cases that are emerging in government and education
Ethical and privacy-first generative AI considerations
Actionable next steps for organizations looking to implement generative AI
Where we see the industry heading in the near future
Sign up now so you can watch the on-demand recording.

The future of generative AI in the public sector

Our second annual threat report provides valuable insights on how threat actors have changed the threat landscape in the last year. Informed by Elastic Security Labs investigations and expert threat intelligence, the 2023 Elastic Global Threat Report will help guide security teams on malware, endpoint, cloud security, and more. To dive a bit deeper on these complicated topics, this webinar from Elastic Security Labs will:

Explore the key findings and current trends identified from months of investigation
Provide practical recommendations on ways to protect your organization
Highlight the results of the 2023 Elastic Global Threat Report directly with our research experts
Join us for an in-depth look at the 2023 Elastic Global Threat Report from Elastic Security Labs!

Prepare for tomorrow: insights from the 2023 Elastic Global Threat Report

Many government and higher ed organizations are focusing on log management to reduce risk, accelerate remediation, and comply with regulations.

But logging can come with challenges, such as difficulties ingesting data, slow access to historical data, and tool sprawl.

Join us in this webinar, where we’ll dig deep into logging for public sector – including solutions to some of the most pressing challenges.

You’ll learn:
Why logging matters for operational resilience, incident response, and cyber threat detection
How to overcome 5 of the most common logging obstacles
How to expand from logging to end-to-end observability

5 ways to maximize your mission-critical logging data

Are you one of the 44% of organizations looking to replace or augment their SIEM strategy? By defining the goals for your new SIEM upfront, you’ll be able to more readily quantify the success of your new program and see immediate benefits.
In this webinar, hear from our global subject matter experts who will share best practices for SIEM migration, including:
Defining priority use cases, workflow integrations, operational metrics, and more to deliver incremental value
Mapping your established use cases to the availability and collection of data sources
Scoping content creation and use case development on your new SIEM (including how to build natively rather than lift and shift from a legacy platform)
Establishing benchmarks and acceptance criteria
And much more…

SIEM migration, simplified

Security operations are more vital — and visible — than ever, but challenges abound for the SOC: fast-changing environments, disjointed security tools, a deluge of data, an analyst shortage, and more. Overcoming these obstacles requires a modern SIEM solution that harnesses the power of AI, analytics, and automation.

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Agenda:

● Overview into Elastic ES|QL newest capabilities
● Live Walkthrough: Leverage ES|QL in Real-Time
● Interactive Q&A

Register now and learn how ES|QL can be leveraged to help solve issues through aggregations and visualizations.

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Digital transformation is a hot topic for leading financial services enterprises as they work to meet customer needs and expectations in an evolving world. Learn from experts at Microsoft and Elastic about how financial institutions can leverage technology to do more with data to meet new demands.
 
Discussion topics include:
- Common financial services themes, trends, and use cases
- The burden and benefit of massive amounts of data
- Fraud and security requirements
- Tools and technology that can help

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Since the pandemic, companies across industries have turbocharged their transformation efforts, innovating at lightning speed to keep up with changing demand. A recent study by McKinsey found that companies across industries have accelerated their digitisation efforts by three to four years and the share of digital products in their offering has rocketed by an astounding seven years. 
 
As teams deploy new applications and their cloud presence expands, companies are collecting more data than ever - giving leaders unprecedented insights into both internal operations and client interactions. However, with much of that data sitting in siloes, getting business-critical data into the right hands is becoming increasingly complex, making it difficult for leaders to assess how new applications are contributing to business-wide KPIs. 
 
In this session, ESG Senior Analyst Rob Strechay joins Steve Kearns (VP - Product Management, Elastic) and Ashmi Chokshi (General Manager, Digital & Application Innovation, Microsoft) to discuss how the proliferation of data is impacting decision-making and explore strategies teams can employ to ensure their data is being leveraged effectively to action innovations that drive business results. 
 
Topics for discussion include:
 
- How the cloud is shaping organizations’ digital innovation strategies
- Explore best practices for building and maintaining new applications in the cloud
- Managing App Dev at scale and the associated data
- How to innovate and leverage data to meet and surpass business objectives
- The importance of driving a good app-dev culture to attract and retain developers

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This webinar takes a technical deep dive into how to use machine learning and Kibana visualizations for observability and security with Elastic on Azure.

Machine learning for alerting and detection with Elastic on Microsoft Azure

Do you use APM traces, logs, infrastructure metrics, or security data in your work? Tune in to discover how Elastic Observability and the SIEM capabilities can help you keep doing good work with faster insights and fewer barriers.

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Cloud has been a game changer for how companies do business and deliver great customer experiences. However, organizations are early in their cloud journey, and most continue to have workloads in the cloud and on-premises. A hybrid deployment is the reality for most today, creating increased complexity and new observability challenges.

The adoption of microservices and distributed architectures further adds to the complexity. Operations and development teams are inundated with data, making it increasingly difficult to find the root cause of issues and resulting in negative customer experiences and increased downtime.

Join this webinar with 451 Research and Elastic to understand the challenges organizations face when migrating to the cloud, considerations when evaluating an observability solution, and how Elastic Observability helps customers as they scale their cloud usage.

Cloud trends and how observability enables hybrid cloud & operational efficiency

Modern applications based on microservices often run in a distributed environment across thousands of servers, VMs, containers, and serverless functions in data centers, public clouds, and at the edge. Operations and development teams have to process massive amounts of data to solve issues and determine root cause before they impact customer experience and revenue.

Observability is the key to solving these business and operational challenges and is fast becoming one of the strategic imperatives for organizations.

Why observability is key to solving business and operational challenges

In this webinar, we’ll see how a company can use Elastic across their teams, such as Marketing, Executive, Sec Ops, and Operations to work more efficiently, and create an amazing experience for their customers. We’ll cover all three Elastic Solutions: Enterprise Search, Observability, and Security, as well as core features in the Elastic Stack such as machine learning and searchable snapshots. We’ll also show you how Elastic is available wherever you need it: Elastic Cloud (our SaaS offering) or self-managed wherever you want to deploy it.

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Building great website search experiences

Learn how AIOps and GAI offer a solution for monitoring and analyzing the avalanche of observability data generated by today's modern applications. We'll show you how AIOps, GAI can help you deliver more resilient applications when used with observability platforms.

Start with the basics on how AIOps works, review key use cases in observability, and learn how GAI and AI assistants will enhance AIOps moving forward. We’ll also dive into how you can integrate your proprietary, internal data with public LLMs for more effective guidance when diagnosing issues. This session will conclude with demos of how AIOps and GAI will help improve the operational resilience of your applications and the performance of your teams.

Highlights
The need for AIOps in observability
Architecture and capabilities of an AIOps solution
The impact of GAI on AIOps
RAG and using private data with LLMs
Key AIOps use cases
Demo - AIOps for observability
Demo - Elastic AI Assistant

The impact of AIOps and GAI on modern observability

AIOps

Artificial Intelligence

Application Delivery

Operational Performance

IT Security

Security

Data Analysis

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The impact of AIOps and GAI on modern observability

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