The document introduces artificial intelligence and Oracle's AI strategy. It discusses how AI is being used across industries like consumer, healthcare and education. It outlines the core technologies behind AI like machine learning and deep learning. It also addresses both the promises and challenges of adopting AI in enterprises. Finally, it describes Oracle's approach to AI which includes ready-to-go applications, an AI platform to build models, and an autonomous database to support AI workloads.
Artificial Intelligence For Digital Transformation PowerPoint Presentation Sl...SlideTeam
Presenting this set of slides with name - Artificial Intelligence For Digital Transformation Powerpoint Presentation Slides. This PPT deck displays eighteen slides with in depth research. Our topic oriented Artificial Intelligence For Digital Transformation Powerpoint Presentation Slides deck is a helpful tool to plan, prepare, document and analyse the topic with a clear approach. We provide a ready to use deck with all sorts of relevant topics subtopics templates, charts and graphs, overviews, analysis templates. Outline all the important aspects without any hassle. It showcases of all kind of editable templates infographs for an inclusive and comprehensive Artificial Intelligence For Digital Transformation Powerpoint Presentation Slides. Professionals, managers, individual and team involved in any company organization from any field can use them as per requirement.
Given at the MLOps. Summit 2020 - I cover the origins of MLOps in 2018, how MLOps has evolved from 2018 to 2020, and what I expect for the future of MLOps
The Use of Artificial Intelligence and Machine Learning in Speech RecognitionUniphore
A presentation designed to help understand the basics Speech Recognition, Artificial Intelligence, and Machine Learning. Slides in the second half throw light on how AI and ML are helping scale Speech Recognition technology.
Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it".
This raises philosophical arguments about the mind and the ethics of creating artificial beings endowed with human-like intelligence.
This talk overviews my background as a female data scientist, introduces many types of generative AI, discusses potential use cases, highlights the need for representation in generative AI, and showcases a few tools that currently exist.
Artificial Intelligence For Digital Transformation PowerPoint Presentation Sl...SlideTeam
Presenting this set of slides with name - Artificial Intelligence For Digital Transformation Powerpoint Presentation Slides. This PPT deck displays eighteen slides with in depth research. Our topic oriented Artificial Intelligence For Digital Transformation Powerpoint Presentation Slides deck is a helpful tool to plan, prepare, document and analyse the topic with a clear approach. We provide a ready to use deck with all sorts of relevant topics subtopics templates, charts and graphs, overviews, analysis templates. Outline all the important aspects without any hassle. It showcases of all kind of editable templates infographs for an inclusive and comprehensive Artificial Intelligence For Digital Transformation Powerpoint Presentation Slides. Professionals, managers, individual and team involved in any company organization from any field can use them as per requirement.
Given at the MLOps. Summit 2020 - I cover the origins of MLOps in 2018, how MLOps has evolved from 2018 to 2020, and what I expect for the future of MLOps
The Use of Artificial Intelligence and Machine Learning in Speech RecognitionUniphore
A presentation designed to help understand the basics Speech Recognition, Artificial Intelligence, and Machine Learning. Slides in the second half throw light on how AI and ML are helping scale Speech Recognition technology.
Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it".
This raises philosophical arguments about the mind and the ethics of creating artificial beings endowed with human-like intelligence.
This talk overviews my background as a female data scientist, introduces many types of generative AI, discusses potential use cases, highlights the need for representation in generative AI, and showcases a few tools that currently exist.
Artificial Intelligence (A.I) and Its Application -SeminarBIJAY NAYAK
this presentation includes the the Basics of Artificial Intelligence and its applications in various Field. feel free to ask anything. Editors are always welcome.
Elevate with Intelligent Supply Chain | SlideShare | AccentureAccenture Operations
Accenture's presentation shows CSCOs can accelerate their journey to operational maturity as they embrace the future of supply chain operations. Read more
AI vs Machine Learning vs Deep Learning | Machine Learning Training with Pyth...Edureka!
Machine Learning Training with Python: https://www.edureka.co/python )
This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) on "AI vs Machine Learning vs Deep Learning" talks about the differences and relationship between AL, Machine Learning and Deep Learning. Below are the topics covered in this tutorial:
1. AI vs Machine Learning vs Deep Learning
2. What is Artificial Intelligence?
3. Example of Artificial Intelligence
4. What is Machine Learning?
5. Example of Machine Learning
6. What is Deep Learning?
7. Example of Deep Learning
8. Machine Learning vs Deep Learning
Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm
What is business intelligence and where it is applicable is described in this presentation. The subject is offered as elective to BE IT students of Pune University.
AI and ML Series - Leveraging Generative AI and LLMs Using the UiPath Platfor...DianaGray10
📣 AI plays a crucial role in the UiPath Business Automation Platform. In this session you will learn about how the UiPath Business Automation Platform is well-suited for AI, the use of LLM and integrations you can use. Topics include the following:
Introductions.
AI powered automations overview.
Discover why the UiPath Business Automation Platform is well-suited for AI.
LLM + Automation framework and integrations with LangChain.
Generative AI Automation Patterns Demonstration.
👨🏽🤝👨🏻 Speakers:
Dhruv Patel, Senior Sales Solution Architect @UiPath
Russel Alfeche, Technology Leader, RPA @qBotica and UiPath MVP
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...Edureka!
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This tutorial on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. This tutorial covers the following topics:
1. AI as a threat
2. What is AI?
3. History of AI
4. Machine Learning & Deep Learning examples
5. Dependency on AI
6.Applications of AI
7. AI Course at Edureka - https://goo.gl/VWNeAu
For more information, please write back to us at sales@edureka.co
Call us at IN: 9606058406 / US: 18338555775
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Differences Between Machine Learning Ml Artificial Intelligence Ai And Deep L...SlideTeam
"You can download this product from SlideTeam.net"
Differences between Machine Learning ML Artificial Intelligence AI and Deep Learning DL is for the mid level managers to give information about what is AI, what is Machine Learning, what is deep learning, Machine learning process. You can also know the difference between Machine learning and Deep learning to understand AI, ML, and DL in a better way for business growth. https://bit.ly/325zI9o
The slide aids to understand and provide insights on the following topics,
* Overview for Data Science
* Definition of Data and Information
* Types of Data and Representation
* Data Value Chain - [ Data Acquisition; Data Analysis; Data Curating; Data Storage; Data Usage ]
* Basic concepts of Big Data
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
Functionalities in AI Applications and Use Cases (OECD)AnandSRao1962
This presentation was given at the OECD Network of AI Specialists (ONE) held in Paris on February 26 and 27. It covers the methodology for assessing AI use cases by technology, value chain, use, business impact, business value, and effort required.
Introduction to artifcial intelligence
Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labelled as AGI (Artificial General Intelligence) while attempts to emulate 'natural' intelligence have been called ABI (Artificial Biological Intelligence). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.[3] Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving"
Presentación Gerardo Ricardez, Senior Director Emerging Technologies de Oracle PAÍS DIGITAL
Presentación " IA como base para el desarrollo de soluciones del futuro" en el marco del Simposio de Tendencias Digitales, realizado el 18 y 19 de julio 2018, con el apoyo de Corfo e Imagen de Chile.
Artificial Intelligence (A.I) and Its Application -SeminarBIJAY NAYAK
this presentation includes the the Basics of Artificial Intelligence and its applications in various Field. feel free to ask anything. Editors are always welcome.
Elevate with Intelligent Supply Chain | SlideShare | AccentureAccenture Operations
Accenture's presentation shows CSCOs can accelerate their journey to operational maturity as they embrace the future of supply chain operations. Read more
AI vs Machine Learning vs Deep Learning | Machine Learning Training with Pyth...Edureka!
Machine Learning Training with Python: https://www.edureka.co/python )
This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) on "AI vs Machine Learning vs Deep Learning" talks about the differences and relationship between AL, Machine Learning and Deep Learning. Below are the topics covered in this tutorial:
1. AI vs Machine Learning vs Deep Learning
2. What is Artificial Intelligence?
3. Example of Artificial Intelligence
4. What is Machine Learning?
5. Example of Machine Learning
6. What is Deep Learning?
7. Example of Deep Learning
8. Machine Learning vs Deep Learning
Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm
What is business intelligence and where it is applicable is described in this presentation. The subject is offered as elective to BE IT students of Pune University.
AI and ML Series - Leveraging Generative AI and LLMs Using the UiPath Platfor...DianaGray10
📣 AI plays a crucial role in the UiPath Business Automation Platform. In this session you will learn about how the UiPath Business Automation Platform is well-suited for AI, the use of LLM and integrations you can use. Topics include the following:
Introductions.
AI powered automations overview.
Discover why the UiPath Business Automation Platform is well-suited for AI.
LLM + Automation framework and integrations with LangChain.
Generative AI Automation Patterns Demonstration.
👨🏽🤝👨🏻 Speakers:
Dhruv Patel, Senior Sales Solution Architect @UiPath
Russel Alfeche, Technology Leader, RPA @qBotica and UiPath MVP
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...Edureka!
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This tutorial on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. This tutorial covers the following topics:
1. AI as a threat
2. What is AI?
3. History of AI
4. Machine Learning & Deep Learning examples
5. Dependency on AI
6.Applications of AI
7. AI Course at Edureka - https://goo.gl/VWNeAu
For more information, please write back to us at sales@edureka.co
Call us at IN: 9606058406 / US: 18338555775
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Differences Between Machine Learning Ml Artificial Intelligence Ai And Deep L...SlideTeam
"You can download this product from SlideTeam.net"
Differences between Machine Learning ML Artificial Intelligence AI and Deep Learning DL is for the mid level managers to give information about what is AI, what is Machine Learning, what is deep learning, Machine learning process. You can also know the difference between Machine learning and Deep learning to understand AI, ML, and DL in a better way for business growth. https://bit.ly/325zI9o
The slide aids to understand and provide insights on the following topics,
* Overview for Data Science
* Definition of Data and Information
* Types of Data and Representation
* Data Value Chain - [ Data Acquisition; Data Analysis; Data Curating; Data Storage; Data Usage ]
* Basic concepts of Big Data
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
Functionalities in AI Applications and Use Cases (OECD)AnandSRao1962
This presentation was given at the OECD Network of AI Specialists (ONE) held in Paris on February 26 and 27. It covers the methodology for assessing AI use cases by technology, value chain, use, business impact, business value, and effort required.
Introduction to artifcial intelligence
Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labelled as AGI (Artificial General Intelligence) while attempts to emulate 'natural' intelligence have been called ABI (Artificial Biological Intelligence). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.[3] Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving"
Presentación Gerardo Ricardez, Senior Director Emerging Technologies de Oracle PAÍS DIGITAL
Presentación " IA como base para el desarrollo de soluciones del futuro" en el marco del Simposio de Tendencias Digitales, realizado el 18 y 19 de julio 2018, con el apoyo de Corfo e Imagen de Chile.
Introducing New AI Ops Innovations in Oracle 19c Autonomous Health Framework ...Sandesh Rao
Oracle Autonomous Health Framework (AHF) is Oracle’s Artificial Intelligence Operations platform for autonomous database health management. This session will focus on enhancements to current functionality and new features in 18c and coming in 19c. First successfully introduced in Cluster Health Advisor, and extended to Trace File Analyzer and Hang Manager, Oracle AHF’s applied machine learning technology now enhances additional framework components. You will learn how to utilize these features for determining workload footprint, ongoing monitoring, early detection of anomalies and performance issues, their root causes and corrective actions, prevention of node or database failures, and targeted postmortem analysis enabling quick resolution.
Check out this presentation to:
- Learn the definition of AI and understand its key components
- Learn about Cognitive Engines, and their uses cases and limitations
- Access a glossary of key AI terms compiled and defined by our team of data scientists
- Learn about AI adoption, obstacles to adoption, and how to overcome them
- Learn about Veritone's AI strategy and deployment of a proprietary AI Operating System
A modern day data management platform driven by the evolved thought process and focus,
- From Data to Metadata engineering and Ontologies
- From Data Swamps to Data Products
- From Data for AI to AI for Data
- From Tech Debts to Data Monetization
Designing a Successful Governed Citizen Data Science StrategyDATAVERSITY
To compete in today’s digital economy, enterprises require new ways to expand AI across their entire organization. Nearly all firms want to do more with data science, but they don't know where to begin or how to properly empower citizen data scientists to avoid common AI gone wrong accidents.
In this session, we will discuss how to approach your journey into citizen data science with existing analytics talent. Proven best practices and lessons learned from successful early adopters of augmented data science will be shared. We will walk through example initiative roadmaps, recommended staffing, upskilling, mentoring and ongoing governance.
Accenture Robotic Platform is a computer vision and machine learning powered system enabling intelligent automation. The AI-powered software can observe and replay, can read and interpret documents, and can execute complex activities on any application.
AUSOUG - Introducing New AI Ops Innovations in Oracle 19c Autonomous Health F...Sandesh Rao
Oracle Autonomous Health Framework (AHF) is Oracle’s Artificial Intelligence Operations platform for autonomous database health management. This session will focus on enhancements to current functionality and new features in 18c and coming in 19c. First successfully introduced in Cluster Health Advisor, and extended to Trace File Analyzer and Hang Manager, Oracle AHF’s applied machine learning technology now enhances additional framework components. You will learn how to utilize these features for determining workload footprint, ongoing monitoring, early detection of anomalies and performance issues, their root causes and corrective actions, prevention of node or database failures, and targeted postmortem analysis enabling quick resolution.
DataRobot 머신러닝 자동화 플랫폼은 전 세계 Top Data Scientist 들의 지식, 경험 및 모범 사례를 바탕으로 최고 수준의 자동화와 사용 편리성을 확보한 가장 진보된 머신러닝 자동화 솔루션 입니다. DataRobot을 통해 비즈니스 관계자, 분석가 및 데이터 과학자 등 기술 수준과 관계 없이 모든 사용자가 기존 모델링 기법에 비해 아주 빠르게, 매우 정확한 예측 모델을 수립하고 구축, 관리할 수 있습니다.
Accelerate AI/ML Adoption with Intel Processors and C3IoT on AWS (AIM386-S) -...Amazon Web Services
Today, organizations deploy more AI/ML workloads on AWS than on any other cloud platform. The cloud has removed many of the challenges associated with scalability, and it’s never been easier or more cost effective to build custom and intelligent data models. In this session, learn how the C3 Platform leverages the full power of Intel Xeon Scalable processors on AWS to rapidly train, deploy, and operationalize AI/ML and big data applications like C3 Inventory Optimization and C3 Predictive Maintenance. In addition, a customer shares how these solutions helped achieve demonstrable value. This session is brought to you by AWS partner, Intel.
🔹How will AI-based content-generating tools change your mission and products?
🔹This complimentary webinar [ON-DEMAND] explores multiple use cases that drive adoption in their early adopter customer base to provide product leaders with insights into the future of generative AI-powered businesses, and the potential generative AI holds for driving innovation and improving business processes.
Running Kubernetes Workloads on Oracle Cloud InfrastructureOracle Developers
Kubernetes is an open-source container orchestration platform that allows you to deploy and manage containerized applications at scale. This workshop will provide an introduction to how Oracle Cloud Infrastructure (OCI) provides a developer friendly container-native and enterprise-ready managed Kubernetes. OCI enables rapid cluster creation and management while providing highly predictable performance supporting pure bare metal, VM, or hybrid Kubernetes clusters.
Oracle Kubernetes Engine (OKE) is a managed Kubernetes service on OCI that makes it easy to run and manage complex workloads (AI/ML) with minimal administration. The Kubeflow project is designed to simplify the deployment of machine learning projects like TensorFlow on Kubernetes. This workshop will demonstrate how simple it is to deploy the Kubeflow project on OKE.
Building Cloud Native Applications with Oracle Autonomous Database.Oracle Developers
In this session, Manish Kapur from the Oracle Application Development Cloud Platform team will provide an overview of Oracle's Cloud-Native Application Development platform. He will talk about developing and deploying cloud-native applications like Microservices and Serverless functions using Continuous Integration and Delivery Pipelines. This will include a demonstration of how to use the CI/CD approach to build and deploy a simple Node.js based microservices application that uses Oracle Autonomous Transaction Processing (ATP) database for persistence.
The Fn project is an open-source container-native serverless platform that you can run anywhere -- any cloud or on-premise. It’s easy to use, supports every programming language, and is extensible and performant. https://fnproject.io/
General Capabilities of GraalVM by Oleg Selajev @shelajevOracle Developers
Abstract: "General Capabilities of GraalVM"
GraalVM project enhances the Java ecosystem with an integrated, polyglot, high-performance execution environment for dynamic, static, and native languages. GraalVM supports Java, Scala, Kotlin, Groovy, and other JVM-based languages. At the same time, it can run the dynamic scripting languages JavaScript including node.js, Ruby, R, and Python.
In this session you'll see demos and learn what you can do with GraalVM, from using it as the JVM JIT compiler, enhancing the JIT, running native and polyglot programs, compiling them ahead of time for faster startup and lower runtime overhead, debugging your polyglot code using exact same tools for any language, to profiling performance and memory of your application and embedding GraalVM in a native application for portability.
GraalVM offers you the opportunity to write the code in the language you want, which suits the problem the best, and run the resulting program really fast wherever you like: JVM, native code, even inside a database.
Abstract: "Performance with Native Images"
GraalVM is a high-performance polyglot runtime for dynamic, static, and native languages. One of the abilities of GraalVM is to compile Java programs ahead of time into native images that offer performance comparable to running on the JVM but have instant startup times and much lower runtime overhead. Generating native images is proven to work on real-world applications. In this session, you will learn how native images work and what is required to generate them and will look at several examples of compiling programs ahead of time and packaging them into minimal containers. You’ll also see how to configure native image generation, work around the limitations, and configuring your application to use native images.
GraphPipe - Blazingly Fast Machine Learning Inference by Vish AbramsOracle Developers
GraphPipe is an open source protocol and collection of software designed to simplify machine learning model deployment and decouple it fromframework-specific model implementations.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
Artificial Intelligence
1. Artificial Intelligence
Introduction to Next Wave of
Enterprise Transformation
Savita Raina
Director Product Marketing – Oracle Cloud (AI)
@sraina03
March 29, 2019