TheSequence

DECEMBER 3, 2023

📝 Editorial: AWS’ Generative AI Strategy Starts to Take Shape and Looks a Lot Like Microsoft’s The AWS re:Invent conference has long been regarded as the premier event of the year for cloud computing. Bedrock has emerged as the cornerstone of AWS's generative AI strategy, now supporting Anthropic’s Claude 2.1

AI Strategy 110

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Unite.AI

JANUARY 24, 2025

Claudionor Coelho is the Chief AI Officer at Zscaler, responsible for leading his team to find new ways to protect data, devices, and users through state-of-the-art applied Machine Learning (ML), Deep Learning and Generative AI techniques. Previously, Coelho was a Vice President and Head of AI Labs at Palo Alto Networks.

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Deep Learning Generative AI AI AI 246

Marktechpost

FEBRUARY 2, 2024

Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Don’t Forget to join our Telegram Channel The post This AI Paper Introduces Investigate-Consolidate-Exploit (ICE): A Novel AI Strategy to Facilitate the Agent’s Inter-Task Self-Evolution appeared first on MarkTechPost.

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Marktechpost

JANUARY 27, 2024

Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Also, don’t forget to follow us on Twitter. If you like our work, you will love our newsletter.

AI Strategy 131

AI Strategy Large Language Models AI AI 131

IBM Journey to AI blog

OCTOBER 4, 2023

A data lakehouse architecture combines the performance of data warehouses with the flexibility of data lakes, to address the challenges of today’s complex data landscape and scale AI. With watsonx.data, you can experience the benefits of a data lakehouse to help scale AI workloads for all your data, anywhere.

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Metadata AI Strategy Data Scientist Big Data 238

IBM Journey to AI blog

MAY 9, 2023

Today is a revolutionary moment for Artificial Intelligence (AI). After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. The answer is that generative AI leverages recent advances in foundation models.

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AWS Machine Learning Blog

JANUARY 29, 2025

This flexibility, combined with the Amazon Bedrock unified API and enterprise-grade infrastructure, allows organizations to build resilient AI strategies that can adapt as their requirements evolve. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value.

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Unite.AI

JANUARY 9, 2025

Hiring ML/AI engineers and data scientists is particularly difficult, but organizations are finding more success in recruiting general developers. Additionally, the report found that talent is a persistent challenge, with 20% of respondents identifying it as their primary obstacle.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. ML algorithms understand language in the NLU subprocesses and generate human language within the NLG subprocesses. DL, a subset of ML, excels at understanding context and generating human-like responses.

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Unite.AI

FEBRUARY 21, 2025

What AI-driven personalization strategies can brands implement to enhance customer experiences? While personalization is nothing new to brands, AI and ML technology allows brands to enter new levels of customer personalization to meet the high consumer expectations.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Data exploration and model development were conducted using well-known machine learning (ML) tools such as Jupyter or Apache Zeppelin notebooks. To address the legacy data science environment challenges, Rocket decided to migrate its ML workloads to the Amazon SageMaker AI suite.

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Data Science Data Scientist Data Ingestion DevOps 70

TheSequence

JUNE 23, 2024

📝 Editorial: Beyond OpenAI: Apple’s On-Device AI Strategy The partnership between Apple and OpenAI dominated the headlines of the recent WWDC conference and sparked passionate debates within the AI community. Thinking that Apple’s AI strategy is dependent on the partnership with OpenAI would be a mistake.

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AI News

SEPTEMBER 26, 2023

AI and machine learning (ML) models are incredibly effective at doing this but are complex to build and require data science expertise. With CustomerAI Predictions now generally available, Twilio Segment is putting the power of predictive AI at marketers’ fingertips.

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ODSC - Open Data Science

MARCH 6, 2025

Explore the must-attend sessions and cutting-edge tracks designed to equip AI practitioners, data scientists, and engineers with the latest advancements in AI and machine learning. In this talk, Stephanie Kirmer, Senior Machine Learning Engineer at DataGrail, explores the disconnect between ML teams and business stakeholders.

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Towards AI

MARCH 5, 2025

You walk into the office, grab a coffee, and overhear colleagues debating the latest AI-powered coding assistant. In an elevator ride, someone mentions using AI to summarize documents. Town hall meetings are filled with discussions about AI strategies. Right now, many engineers arent fully utilizing AI productivity tools.

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Software Engineer Software Development AI Tools AI 74

Towards AI

JUNE 5, 2023

As such, my intention with this blog is not to duplicate those definitions but rather to encourage you to question and evaluate your current ML strategy. While ML algorithms & code play a crucial role in success, it’s just a small piece of the large puzzle. Source: Image by the author.

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AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. This is a guest post written by Axfood AB.

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AI Impacts

APRIL 17, 2023

Research and writing highlights AI Strategy “ Let's think about slowing down AI ” argues that those who are concerned about existential risks from AI should think about strategies that could slow the progress of AI (Katja) “ Framing AI strategy ” discusses ten frameworks for thinking about AI strategy.

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AWS Machine Learning Blog

FEBRUARY 11, 2025

SageMaker Studio is a comprehensive IDE that offers a unified, web-based interface for performing all aspects of the machine learning (ML) development lifecycle. This approach allows for greater flexibility and integration with existing AI/ML workflows and pipelines. Deploy Meta SAM 2.1 Choose Delete again to confirm.

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Computer Vision ML Python Automation 81

ODSC - Open Data Science

MARCH 31, 2025

Building Multimodal AI Agents: Agentic RAG with Vision-Language Models Suman Debnath, Principal AI/ML Advocate at Amazon WebServices Learn how to create AI agents that integrate both vision and language using retrieval-augmented generation (RAG). Empower your AI strategy and start building smarter agentstoday!

Software Engineer 52

Software Engineer AI AI Large Language Models 52

TheSequence

MAY 12, 2024

Edge 396: With all the noise about Apple’s AI strategy, we dive into some of their recent research in Ferret-UI. 🔎 ML Research AlphaFold 3 Google DeepMind published a paper detailing AlphaFold 3, the new version of its groundbreaking bioscience model that was able to predict protein structures. Register Now!

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Unite.AI

APRIL 30, 2024

With this, I’m also working on our global artificial intelligence (AI) strategy to inform this data access and utilization across the ecosystem. Using machine learning (ML) to uncover critical scheduling insights has been an interesting use case for our organization. That’s where ML comes in.

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TheSequence

DECEMBER 24, 2023

. 📝 Editorial: Apple GPT is Coming When we think about tech incumbents that could be severely disrupted by generative AI, Apple often tops the list. 🔎 ML Research LLM in a Flash Apple Research published a paper outlining a technique for LLM inference with limited memory.

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LLM Large Language Models Generative AI AI Strategy 122

AI Impacts

JULY 20, 2023

I collected my favorite public pieces of research on AI strategy, governance, and forecasting from 2023 so far. Perhaps the most important question in AI strategy is what should AI labs do? Perhaps the most important question in AI strategy is how can we verify labs' compliance with rules about training runs?

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IBM Journey to AI blog

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

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AWS Machine Learning Blog

MAY 1, 2024

Using the Neuron Distributed library with SageMaker SageMaker is a fully managed service that provides developers, data scientists, and practitioners the ability to build, train, and deploy machine learning (ML) models at scale. Health checks are currently enabled for the TRN1 instance family as well as P* and G* GPU-based instance types.

ML 113

ML Auto-complete Deep Learning Generative AI 113

AWS Machine Learning Blog

JUNE 11, 2024

This allows machine learning (ML) practitioners to rapidly launch an Amazon Elastic Compute Cloud (Amazon EC2) instance with a ready-to-use deep learning environment, without having to spend time manually installing and configuring the required packages. You also need the ML job scripts ready with a command to invoke them.

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IBM Journey to AI blog

AUGUST 12, 2024

LLMs in comparison with traditional ML models Unlike traditional machine learning models, which often require extensive feature engineering and domain-specific adjustments, LLMs can generalize from vast datasets without the need for such tailored configurations. This makes them versatile and highly adaptable across different use cases.

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Automation Generative AI AI AI 159

DataRobot Blog

JUNE 1, 2022

Whether you’re just learning about the power of AI or already in production and planning your long-term AI strategy, DataRobot AIX has something for everyone. Direct Access to AI Product Experts. In a robust virtual expo, visit with experts in data engineering, machine learning, ML Ops, and AI-powered apps.

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DataRobot Blog

MARCH 16, 2023

However, data science teams can spend less time generating ML prediction interpretations and business users can derive greater understanding from their ML applications. Ultimately, users benefit from a transparent, and clear explanation of what ML predictions means to them.

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Data Science OpenAI Data Scientist Large Language Models 98

IBM Journey to AI blog

APRIL 18, 2024

While AGI promises machine autonomy far beyond gen AI, even the most advanced systems still require human expertise to function effectively. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. These use areas are sure to evolve as AI technology progresses.

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Unite.AI

OCTOBER 25, 2024

Reply: EverythingAI TM ’s full lifecycle support is crafted to help organizations overcome AI adoption challenges, ensuring better outcomes in productivity, customer experience, decision-making, and business reimagination. Tools like AIWiz and PeakPerform automate tasks and enable faster decision-making.

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AWS Machine Learning Blog

MARCH 5, 2025

She is passionate about solving business problems using Generative AI and cloud-based technologies. Satyam Saxena is an Applied Science Manager at AWS Generative AI Innovation Center team. His research interests include deep learning, computer vision, NLP, recommender systems, and generative AI.

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Marktechpost

JUNE 17, 2023

This integration empowers developers to utilize a wide range of AI models powered by PyTorch on AMD accelerators. Furthermore, Hugging Face, an open platform for AI builders, announced plans to optimize thousands of their models for AMD platforms. In May, the company reported revenue of $5.4 Check Out The AMD Announcement.

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AWS Machine Learning Blog

AUGUST 26, 2024

Use case overview Using generative AI, we built Account Summaries by seamlessly integrating both structured and unstructured data from diverse sources. This includes sales collateral, customer engagements, external web data, machine learning (ML) insights, and more.

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Unite.AI

MAY 22, 2024

That’s where MinIO comes in and why the company has always stood miles ahead of the competition because it’s designed for what AI needs – storing massive volumes of structured and unstructured data and providing performance at scale. If you train machine learning models with GPUs, your weak link may be your storage solution.

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AWS Machine Learning Blog

JANUARY 24, 2025

Amazon Bedrock has emerged as the preferred choice for tens of thousands of customers seeking to build their generative AI strategy. It offers a straightforward, fast, and secure way to develop advanced generative AI applications and experiences to drive innovation. His focus area is AI/ML and Energy & Utilities Segment.

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