IBM Journey to AI blog

SEPTEMBER 28, 2023

According to a recent IBV study , 64% of surveyed CEOs face pressure to accelerate adoption of generative AI, and 60% lack a consistent, enterprise-wide method for implementing it.

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AWS Machine Learning Blog

DECEMBER 5, 2024

Technical standards, such as ISO/IEC 42001, are significant because they provide a common framework for responsible AI development and deployment, fostering trust and interoperability in an increasingly global and AI-driven technological landscape.

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Responsible AI AI Tools AI AI 100

IBM Journey to AI blog

SEPTEMBER 7, 2023

. “Trust us” isn’t an argument, especially when it comes to AI. As one of the first companies to develop enterprise AI, IBM’s approach to AI development is guided by core principles grounded in commitments of trust and transparency.

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Large Language Models AI AI Generative AI 275

Unite.AI

SEPTEMBER 10, 2024

In many ways, AI mirrors previous paradigm shifts like personal computing and the Internet in that it will become integral to workflows for every individual, business, nation, and industry. Given the increasing importance of data in AI, how do you see the role of AI data platforms like Encord evolving in the next five years?

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Unite.AI

MARCH 6, 2025

Mashvisor Mashvisor is a real estate data platform that uses AI and big data to help investors find and analyze profitable rental properties (both traditional long-term rentals and Airbnb/short-term rentals). or even local market trends, and get insightful responses to guide your approach Visit DealMachine 9.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Tools such as Midjourney and ChatGPT are gaining attention for their capabilities in generating realistic images, video and sophisticated, human-like text, extending the limits of AI’s creative potential. ” This evolution demonstrates that computers have moved beyond mere number-crunching devices.

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IBM Journey to AI blog

JANUARY 10, 2024

But even with the myriad benefits of AI, it does have noteworthy disadvantages when compared to traditional programming methods. AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended. .¹

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ODSC - Open Data Science

MARCH 12, 2025

Data Engineerings SteadyGrowth 20182021: Data engineering was often mentioned but overshadowed by modeling advancements. 20222024: As AI models required larger and cleaner datasets, interest in data pipelines, ETL frameworks, and real-time data processing surged.

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Data Science ETL Machine Learning AI Engineer 52

IBM Journey to AI blog

APRIL 18, 2024

The skills gap in gen AI development is a significant hurdle. Startups offering tools that simplify in-house gen AI development will likely see faster adoption due to the difficulty of acquiring the right talent within enterprises.

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TheSequence

MARCH 23, 2025

This year’s announcements covered everything from powerhouse GPUs to sleek open-source software, forming a two-pronged strategy that’s all about speed, scale, and smarter AI. With hardware like Blackwell Ultra and Rubin, and tools like Llama Nemotron and Dynamo, NVIDIA is rewriting what’s possible for AI development.

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Large Language Models AI AI AI Researcher 52

AssemblyAI

AUGUST 22, 2024

For example, marketers have a range of tools at their disposal, including marketing analytics and measurement tools, customer relationship management platforms, and customer data platforms, but two-thirds are unsatisfied with how they are using customer data to create relevant experiences for their buyers , leaving significant room for improvement. 

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AI Modeling AI AI Business Intelligence 147

NVIDIA

DECEMBER 11, 2023

These target companies include Ayar Labs, specializing in chip-to-chip optical connectivity, and Hugging Face, a hub for advanced AI models. Databricks offers an industry-leading data platform for machine learning, while Cohere provides enterprise automation through AI. Other notable companies are Recursion, Kore.ai

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IBM Journey to AI blog

OCTOBER 20, 2023

By exploring data from different perspectives with visualizations, you can identify patterns, connections, insights and relationships within that data and quickly understand large amounts of information. AutoAI automates data preparation, model development, feature engineering and hyperparameter optimization.

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TheSequence

JUNE 19, 2023

In this guest post, Alex Ranter, CEO and co-founder of Snorkel, highlights the importance of data-centric operations in AI development and emphasizes the need for customized models based on enterprise-specific data.

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Snorkel AI

JULY 14, 2023

In addition to the latest release of Snorkel Flow, we recently introduced Foundation Model Data Platform that expands programmatic data development beyond labeling for predictive AI with two core solutions: Snorkel GenFlow for building generative AI applications and Snorkel Foundry for developing custom LLMs with proprietary data.

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Auto-classification Machine Learning Data Science Data Platform 52

Snorkel AI

JULY 14, 2023

In addition to the latest release of Snorkel Flow, we recently introduced Foundation Model Data Platform that expands programmatic data development beyond labeling for predictive AI with two core solutions: Snorkel GenFlow for building generative AI applications and Snorkel Foundry for developing custom LLMs with proprietary data.

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Auto-classification Machine Learning Data Science Data Platform 52

Marktechpost

JULY 17, 2023

Best predictive analytics tools and platforms H2O Driverless AI H2O, a relative newcomer to predictive analytics, became well-known thanks to a well-liked open source solution. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

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Machine Learning Data Mining Data Scientist Data Science 98

ODSC - Open Data Science

JANUARY 9, 2025

That latter can always be adjusted by the AI developer: for example, we could have added a human-in-the-loop to review the booking details before accepting the booking request in thesystem.

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Large Language Models LLM AI AI 45

Pickl AI

JUNE 23, 2023

This includes ensuring data privacy, security, and compliance with ethical guidelines to avoid biases, discrimination, or misuse of data. Also Read: How Can The Adoption of a Data Platform Simplify Data Governance For An Organization?

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Flipboard

NOVEMBER 22, 2024

We are excited about the potential productivity gain and acceleration for generative-AI application development with Bedrock Flows.” – Laura Skylaki, VP of Artificial Intelligence, Business Intelligence and Data Platforms at Thomson Reuters.

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ODSC - Open Data Science

MARCH 18, 2025

Valentina Alto, Technical Architect, AI & App at Microsoft Valentina is an AI and Apps Tech Architect at Microsoft, specializing in analytics and AI solutions for the manufacturing and pharmaceutical industries.

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Data Science Machine Learning Software Engineer Data Scientist 64

NVIDIA

MARCH 18, 2025

This follows a wave of AI factory investments worldwide, as enterprises and countries accelerate AI-driven economic growth across every industry and region: India : Yotta Data Services has partnered with NVIDIA to launch the Shakti Cloud Platform , helping democratize access to advanced GPU resources.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

Because we’re addressing the cost, performance, and security issues that enable production-grade generative AI applications. We’re empowering data scientists, ML engineers, and other builders with new capabilities that make generative AI development faster, easier, more secure, and less costly.

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Bugra Akyildiz

FEBRUARY 24, 2024

Increased Democratization: Smaller models like Phi-2 reduce barriers to entry, allowing more developers and researchers to explore the power of large language models. Responsible AI Development: Phi-2 highlights the importance of considering responsible development practices when building large language models.

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