IBM Technology
How to Secure AI Business Models
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Can AI solve infectious disease? In Episode 25 of Mixture of Experts, host Tim Hwang is joined by Kaoutar El Maghraoui, Maya Murad, and Ruben Boonen. Today we analyze some papers. First, the experts dissect Machines of Loving Grace, a 15,000 word essay written by Anthropic’s CEO making some major AI predictions. Then, Apple generated a new benchmark based of GSM8K in a recent paper, the findings were intriguing. Next, we talk Entropix, a sampler intending to replicate chain of thought features. Finally, OpenAI disclosed they are seeing an increase in AI models faking articles, what can we do to fix this? All this and more, on today’s Mixture of Experts.
Segments:
00:01 - Introduction
01:19 - Machines of Loving Grace
11:03 - Entropix
22:06 - GSM8K
31:48 - AI and elections
The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
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In this video, Sanket Panda explains what Quantum Serverless is and how it helps manage quantum and classical resources across the development workflow. The video covers the need for flexible tools to manage different resources, such as CPUs, GPUs, and QPUs, and how Quantum Serverless provides a solution for long-running workloads that require flexible resources.
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In this episode of AI Academy, learn how your existing technology, as part of a hybrid cloud by design architecture, can be the engine that powers your AI strategy and gets your business where it needs to go.
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Come on a journey to explore the exciting intersection of artificial intelligence, cyber security, and connected cars. In this video, Martin Keen & Jeff Crume delve into the latest trends, challenges, and opportunities shaping the future of transportation. From the benefits of autonomous vehicles to the importance of cyber security, discover the possibilities of a connected, secure, and autonomous future.
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In this video, Carl Broker covers the fundamentals of text classification and how AI powers spam detection, sentiment analysis, and topic categorization. This video covers key techniques like binary, multi-class, and multi-label classification, as well as common challenges and best practices in AI model training. Discover how businesses use text classification to automate processes, improve customer experience, and handle large volumes of data without human intervention.
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Join Rosalind Radcliffe as she discusses how to turn your infrastructure into a strategic asset for AI. In this video, we'll cover the importance of modernizing your applications and optimizing your infrastructure for high-security, high-reliability, and high-throughput workloads.
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Could AI win a Nobel Prize in the future? In Episode 24 of Mixture of Experts, host Tim Hwang is joined by Chris Hay and Edward Calvesbert. First, the experts debrief the ‘Godfather of AI’ sharing a Nobel Prize. Next, we talk AI platforms and the hype around DGX B200. Finally, unstructured data is becoming usable for LLMs, why are companies like NVIDIA so interested in this data? Tune-in today to find out!
Segments
0:00 - Intro
0:53 - AI in the Nobels
13:04 - DGX B200 Arrival
24:03 - Unstructured's $40M Funding Round
The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
Subscribe for AI updates → https://ibm.biz/BdaqPT
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As the scale of artificial intelligence continues to evolve, open technology like many of IBM’s Granite models are helping enhance transparency in AI and improve efficiency across businesses. In this episode of Smart Talks with IBM, Jacob Goldstein sat down with Maryam Ashoori, the Director of Product Management and Head of Product for IBM’s watsonx.ai, where she spearheads the product strategy and delivery of IBM’s watsonx Foundation Models. Together, they explored the shift from large general-purpose AI models to smaller, customizable models tailored to specific needs.
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Learn more about Hybrid Cloud → https://ibm.biz/BdaYHz
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Generative AI can be expensive. Host Albert Lawrence discusses both the obvious as well as hidden costs of deploying AI with Rebecca Gott, CTO IBM Power Systems and Penny Madsen, Senior Director of Research, IDC. Learn about the best ways to control costs as well get insight into some of value and ROI that firms are experiencing with early deployment. This hard-hitting episode tells it like it is when it comes to the challenges of cost for AI, supported by rich set of research data and wealth of client examples.
Learn more about costs, and control and how to leverage, instructure, and hybrid cloud to to control costs.
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In this video, Vyoma Gajjar discusses the future of AI governance in 2024 and beyond, highlighting the importance of productionizing Gen AI methods, augmenting traditional AI practices, and addressing governance challenges. She outlines the key pillars of governance, including risk management, compliance management, and life cycle governance, and provides examples of using generative AI including for social media sentiment analysis.
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#AI #MachineLearning #AIGovernance #MLGovernance #GenAI #GenAIGovernance
Learn more about the technology → https://ibm.biz/BdaZ4V
In today's world, cyber attacks are inevitable. Learn how to quickly recover with a robust cyber resiliency plan. In this video, Grant Harris explains the 5 steps you need to reduce recovery time, protect your data with immutable snapshots, and automate the recovery process for maximum efficiency.
Read the Report: Shifting from Cybersecurity to Cyber Resilience → https://ibm.biz/BdaZ4L
Welcome to IBM Tech Now, a bi-weekly series bringing you the latest and greatest IBM technology news and announcements.
This week we're covering the following topics:
(00:11) 1. IBM X-Force Cloud Threat Landscape Report 2024: https://ibm.biz/itn-x-force-cloud-threat-landscape
(01:03) 2. Top 7 key takeaways: https://ibm.biz/x-force-cloud-threat-landscape-takeaways
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AI news moves fast. Sign up for the weekly Think newsletter → https://ibm.biz/tech-now-think-newsletter
IBM X-Force Cloud Threat Landscape Report → https://ibm.biz/BdajPU
Will DeepDive replace the Mixture of Experts podcast? In Episode 23, host Tim Hwang is joined by IBM Researchers Marina Danilevsky, Nathalie Baracaldo and Vagner Santana to dissect this week’s AI news. First, the experts talk about the hype around Google’s NotebookLM, specifically regarding the DeepDive podcast feature. Next, OpenAI DevDay sparks some interesting conversation around vision fine-tuning and multimodality. Finally, it’s Cybersecurity Awareness Month and IBM X-Force released the Cloud Threat Landscape Report. Will AI prevent phishing attacks? Tune-in to this week’s episode to learn more!
Intro - 0:00
AI prevent phising - 1:05
NotebookLM - 12:18
OpenAI DevDay - 23:01
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The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
Learn more about the technology → https://ibm.biz/BdarpJ
In this tutorial, Nicholas Renotte will guide you through the process of creating a robust and intelligent agent using the Bee Agent Framework. You'll learn how to harness the power of Large Language Models (LLMs) to generate responses, integrate tools, and leverage code to build a sophisticated agent. From setup to deployment, learn the essential steps to help you achieve your goals.
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Join Amanda Downie on a journey into the world of augmented reality. In this comprehensive introduction, she covers the basics of AR, its differences from other technologies, and its potential to transform industries and daily life. From enhanced product visualization to seamless omnichannel experiences, discover how AR can revolutionize the way you interact with the world around you.
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This video, presented by Suj Perepa, discusses the importance of choosing the right type of generative AI model for business applications. The video focuses on the Granite models, which are particularly good for end-users and employees to automate daily tasks. The video covers various abilities of the Granite models, including Q&A, text generation, extraction, summarization, and classification, as well as their capabilities in multiple languages and code generation.
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The cloud is a prime target for cyber attacks, but there are steps you can take to protect your organization. Join cybersecurity expert Jeff Crume as he discusses the latest cloud security threats and shares recommendations for implementing robust security measures. Learn how to safeguard your cloud environment and stay ahead of the threats.
Read the Cost of a Data Breach report → https://ibm.biz/BdaXnn
Learn more about Shift-left testing → https://ibm.biz/BdKNkn
In this video, we explore the concept of Shift-Left Security, a software development methodology that integrates security into every stage of the development lifecycle. By shifting security left, developers can identify and address security vulnerabilities earlier, resulting in more secure and reliable software.
Learn more:
• Red Hat Advanced Cluster Security for Kubernetes → https://ibm.biz/BdKNkp
• Red Hat Trusted Software Supply Chain → https://ibm.biz/BdKNk8
Read the Cost of a Data Breach report → https://ibm.biz/BdKNkg
#SecurityLeadership #RiskManagement #Compliance #SecurityGovernance #DevOpsManagement
Meta releases Llama 3.2! In Episode 22 of Mixture of Experts, host Tim Hwang is joined by Maryam Ashoori, Skyler Speakman, and Shobhit Varshney to debrief an exciting week of AI news. First, Meta is back with the release of Llama 3.2, and lightweight (1B/3B) models. Next, it’s Climate Week NYC, we chat the use of gen AI in achieving sustainable development goals. Specifically, IBM and NASA’s AI model for weather and climate. Finally, the book version of “AI Snake Oil” officially dropped and the authors claim they will be wrong in 2.5 years. What do our experts think? Tune-in today to find out!
0:00 - Intro
1:08 - Llama 3.2
12:32 - AI Snake Oil
22:54 - Generative AI and sustainability
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The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
Learn more about the technology → https://ibm.biz/BdK5Ue
Unlock the power of Recurrent Neural Networks (RNN) Whether you're a beginner or looking to refresh your knowledge, this video will provide a clear and concise overview of RNNs, including their architecture, applications, and how they differ from other neural networks.
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#Recurrent Neural Networks #RNN #Deep Learning #Neural Networks
Learn more about the technology → https://ibm.biz/BdKUWM
Join Jamil Spain as he explores the different components of cloud architecture, including front-end, back-end, networking, and cloud delivery models. Dive into the details of SaaS (Software as a Service) and IaaS (Infrastructure as a Service), and find the benefits and trade-offs of public, private, and hybrid cloud models. Whether you're a seasoned professional or just starting out, learn how to create a cloud architecture that drives success.
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The role of AI in the classroom is evolving rapidly. When students and teachers embrace this technology, it has the ability to democratize access to education through programs like IBM SkillsBuild.
In this episode of Smart Talks with IBM, Dr. Laurie Santos, host of Pushkin’s The Happiness Lab podcast, spoke with two innovators in the space. Justina Nixon-Saintil is Vice President and Chief Impact Officer, IBM Corporate Social Responsibility, and April Dawson is an Associate Dean of Technology and Innovation and a professor of law. They discuss the importance of lifelong learning, upskilling, and the ethical implications of AI in education.
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Virtual agents have been part of our lives for a long time, but can they replace humans as they become faster and more accurate with generative AI? Listen to host Albert Lawrence discuss the evolution of AI agents with Susan Emerson, Vice President of Product, AI and Data at Salesforce and Nick Renotte, Chief AI Engineer at IBM Client Engineering.
The State of Salesforce 2024—25 → https://ibm.biz/BdaFzQ
Your guide to AI for customer service → https://ibm.biz/BdaFz3
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Generative AI + ML for the enterprise → https://ibm.biz/BdK7wZ
Martin Keen discusses the importance of selecting the right large language model (LLM) for enterprise use, highlighting three key metrics: performance, cost-effectiveness, and trustworthiness. He explores the IBM Granite Foundation models, which are designed to meet these requirements, offering transparency, scalability, and efficiency.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdK7w2
Welcome to IBM Tech Now, a bi-weekly series bringing you the latest and greatest IBM technology news and announcements.
This week we're covering the following topics:
(00:19) 1. IBM and Salesforce partnership: https://ibm.biz/itn-ibm-salesforce
(01:38) 2. Custom foundation models on watsonx.ai: https://ibm.biz/itn-custom-foundation-model
(02:44): 3. https://ibm.biz/itn-mixture-of-experts
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In this video, Colin Shank discusses the importance of mobile threat defense in today's mobile-centric world. He explains how mobile devices are vulnerable to attacks, including phishing links, man-in-the-middle attacks, and outdated operating systems. He then introduces mobile threat defense as a solution that proactively detects and blocks attacks, and discusses how to implement it using mobile device management (MDM) solutions.
Read the X-Force Threat Intelligence Index → https://ibm.biz/BdKuiT
Video description: Strawberry is officially here! In Episode 21 of Mixture of Experts, guest host Bryan Casey is joined by Chris Hay, Nathalie Baracaldo, and Aaron Baughman to chat about the hype around OpenAI’s o1 preview. Additionally, we cover AI agents again, with the launch of Agentforce. Next, Aaron—our resident AI in sports expert analyzes the AI powered insights for fantasy football. Finally, what is “machine unlearning,” and why should we care? All this and more, on today’s episode of Mixture of Experts.
0:00 - Intro
0:54 - OpenAI o1 preview
18:24 - Agentforce
29:40 - AI in fantasy football
38:35 - Machine unlearning
The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
Subscribe for AI updates → https://ibm.biz/BdaDFM
Get the guide → https://ibm.biz/BdacWy
Your finance function is the beating heart of your organization, allocating resources across the business to power your operations. However, today’s CFOs and finance teams face new obstacles and can often feel like they’re being pulled in different directions.
In this epsisode of AI Academy, you’ll learn how the adoption of genAI offers finance teams a new way to address these complex problems.
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Join Diarra Bell as she explains the concept of Decision Optimization and how it can be applied in various fields. By using mathematical models and Data-Driven Decision Making, you can optimize processes, reduce risk, and improve outcomes. This video will give you a comprehensive understanding of the techniques and strategies involved in making informed decisions.
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This video, presented by DNS expert Terry Bernstein, provides an overview of DNS zones and records and explains the concept of a DNS zone, resource record sets, and different types of records such as A, NS, MX, CNAME, and TXT records. The video also covers the format of records, including the owner field, class, type, and value.
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Humans can on average categorize 30,000 unique object categories, but how can AI systems distinguish between different things? Zero-shot learning can be done through various methods like attribute based and embedding based learning. In this video Martin Keen explains how technologists are giving AI systems the categorization power that we take for granted.
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Check out the Bee Agent Framework → github.com/i-am-bee/bee-agent-framework
Can Apple Intelligence compete with the AI market offerings? In Episode 20 of Mixture of Experts, host Tim Hwang is joined by Marina Danilevsky, Kate Soule and Maya Murad. Today, the experts chat Apple Intelligence, the performance of Reflection’s 70B, and a new paper released on LLMs generating novel research ideas. Additionally, IBM soft launched the Bee Agent Framework to help build agentic workflows with leading open-source and proprietary models. Tune-in to hear our expert panel break down this week’s AI news.
Segments:
0:00 - Intro
0:54 - Apple Intelligence update
7:56 - Making agents work
19:10 - 70b Reflection
27:49 - LLM Research Ideas
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The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
Learn more about Verify technology → https://ibm.biz/BdKTKw
The rapid advancements in AI, fueled by deep learning and generative AI, have unleashed a new threat: deepfakes. As powerful and effective models become more prevalent, the risk of deepfakes becomes a present danger. Join Jeff Crume as he explores the technology, risks, and mitigation strategies to help you stay ahead of the curve in this evolving landscape
Read the Cost of a Data Breach report → https://ibm.biz/BdKTKk
Learn more about the technology → https://ibm.biz/BdKCex
Retrieval Augmented Generation (RAG) is a popular technique to ground the Large Language Models (LLM) in relevant data, but how do you set it up? Nicholas Renotte shows you how to quickly set up RAG for your next project.
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Join Master Inventor Martin Keen as he explores the concept of Artificial Superintelligence (ASI), a hypothetical software-based AI system that is more advanced than any human. In this video Martin discusses the benefits of ASI, including decision making, problem solving, error reduction, and creativity, as well as the potential risks, including existential risk, automation, ethics, and goals.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdKCe9
Learn more about IBM Granite → https://ibm.biz/BdKUNM
Learn more about InstructLab → https://ibm.biz/BdKUNS
Developers are literally rewriting the world with genAI. It’s changing their worlds and work, too. In this episode, IBM Developer Advocate JJ Asghar joins podcast host Albert Lawrence to discuss the developer POV on genAI, “knowledge” vs. “intelligence” in AI, why “open” is so important, and advice for getting started as an AI developer.
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Join Cedric Clyburn as he explores the differences and use cases of Retrieval Augmented Generation (RAG) and fine-tuning in enhancing large language models. This video covers the strengths, weaknesses, and common applications of both techniques, and provides insights on how to choose between them using machine learning and natural language processing principles
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#AI #LargeLanguageModels #FineTuning #RAG #ReinforcementLearning #MachineLearning #NaturalLanguageProcessing
Welcome to IBM Tech Now, a bi-weekly series bringing you the latest and greatest IBM technology news and announcements.
This week we're covering the following topics:
(00:13) 1. IBM at the US Open: https://ibm.biz/itn-ibm-us-open
(02:45) 2. The new IBM Telum II processor: https://ibm.biz/itn-telum-ii
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Will prompt engineering ever die? In Episode 19 of Mixture of Experts, host Tim Hwang is joined by Kaoutar El Maghraoui, Kate Soule and Shobhit Varshney. Today, the experts chat the future of prompt engineering, a new paper released about The AI Scientist, NEO 1X’s humanoid robot, and OpenAI’s in-house AI chips. Will AI takeover scientific discovery? Will everyone have at home AI assistants? Why is OpenAI investing in chip production? Tune-in for our expert’s takes.
0:00 - Intro
1:17 - Future of Prompt Engineering
11:18 - NEO 1X Robot
21:56 - AI for Scientific Discovery
31:48 - OpenAI's in-house Chips
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The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
Learn more about the technology → https://ibm.biz/BdKTeq
Join Jeff Crume as he discusses methods for preventing software outages on a global scale. He shares lessons learned from recent examples and provides tips for both vendors and users to avoid similar catastrophes in the future, including the importance of disaster recovery and root cause analysis
Read the Cost of a Data Breach report → https://ibm.biz/BdKTeP
Explore NS1 Connect → https://ibm.biz/BdKpxZ
Join networking expert Terry Bernstein as he dives into the differences between primary and secondary DNS servers, exploring their roles and benefits. He starts with a basic overview of DNS, then explains how primary and secondary servers work together to ensure redundancy and reliability.
Read the Cost of a Data Breach report → https://ibm.biz/BdKpxq
#DNS, #NetworkAdministration, #DNSConfiguration
In a rapidly evolving AI landscape, open-source models can further accelerate the pace of progress and help expand access to all. In this episode of Smart Talks with IBM, Malcolm Gladwell sits down with Mo Duffy, Software Engineering Manager at Red Hat.
They discuss InstructLab and the benefits of open-source technology, such as flexible deployment and the ability to enhance transparency, as well as the power of partnerships and collaboration. Mo explains how a community-based approach is essential for developing genuinely open-source AI.
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This is a paid advertisement from IBM. The conversations on this podcast don't necessarily represent IBM's positions, strategies or opinions.
Learn more about the technology → https://ibm.biz/BdKJDz
In this video, cybersecurity expert Jeff Crume explores the 10 principles for secure by design, a best practice approach to building secure systems. Jeff discusses the importance of security by design, and how it can be achieved by following these 10 principles. From the principle of least privilege to secure by default, Jeff covers each principle in detail, providing examples and explanations to help you understand how to apply them.
Read the Cost of a Data Breach report → https://ibm.biz/BdKJDP
Learn more about the technology → https://ibm.biz/BdKgK2
Join Martin Keen as he provides an in-depth explanation of the K-Nearest Neighbors (KNN) algorithm, a popular classification and regression classifier in machine learning. Martin covers the basics of KNN, including its assumption that similar data points are located near each other, and how it works with examples - as well as the strengths and weaknesses of KNN, including its simplicity, adaptability, and scalability issues.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdKgKz