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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IBM Journey to AI blog

FEBRUARY 23, 2024

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.

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Unite.AI

FEBRUARY 21, 2025

What role does AI play in ensuring product data accuracy and consistency across multiple channels? One of the most practical use cases of AI today is its ability to automate data standardization, enrichment, and validation processes to ensure accuracy and consistency across multiple channels.

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Flipboard

DECEMBER 3, 2024

Generative AI is reshaping businesses and unlocking new opportunities across various industries. As a global leader in agriculture, Syngenta has led the charge in using data science and machine learning (ML) to elevate customer experiences with an unwavering commitment to innovation.

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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

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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IBM Journey to AI blog

AUGUST 12, 2024

The integration of generative AI, particularly LLMs, offers transformative potential to automate compliance processes, detect anomalies, and provide comprehensive insights into regulatory requirements. Financial institutions are prioritizing the integration of AI to address pressing challenges and enhance their competitive edge.

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AWS Machine Learning Blog

APRIL 7, 2025

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. By providing multiple access points, SageMaker JumpStart helps you seamlessly incorporate pre-trained models into your AI/ML development efforts, regardless of your preferred interface or workflow.

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IBM Journey to AI blog

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. Automated development: Automates data preparation, model development, feature engineering and hyperparameter optimization using AutoAI.

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Unite.AI

OCTOBER 25, 2024

SLK's AI-powered platforms and accelerators are designed to automate and streamline processes, helping businesses reach the market more quickly. In mortgage requisition intake, AI optimizes efficiency by automating the analysis of requisition data, leading to faster processing times.

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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. Software development will be automated! Its overwhelming.

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AWS Machine Learning Blog

MARCH 5, 2025

The fully automated RCA agent correctly identifies the right root cause for most cases (measured at 85%), and helps engineers in terms of system understanding and real-time insights in their cases. Solution overview At a high level, the solution uses an Amazon Bedrock agent to do automated RCA.

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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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AWS Machine Learning Blog

FEBRUARY 11, 2025

This cutting-edge model supports long-context processing, complex segmentation scenarios, and fine-grained analysis, making it ideal for automating processes for various industries such as medical imaging in healthcare, satellite imagery for environment monitoring, and object segmentation for autonomous systems. Meta SAM 2.1 Meta SAM 2.1

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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. Automation✓ The system must emphasize automation.✓

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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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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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IBM Journey to AI blog

JULY 19, 2023

The industry is under tremendous pressure to accelerate drug development at an optimal cost, automate time- and labor-intensive tasks like document or report creation to preserve employee morale, and accelerate delivery. Why IBM Consulting for generative AI on AWS? Pipeline for generating adverse event narratives Figure 2.

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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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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. In a recent keynote, Chief Product Officer Barbara Staruk shared how RLDatix is leveraging generative AI and large language models to streamline and automate patient safety incident reporting.

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IBM Journey to AI blog

APRIL 18, 2024

By using complex AI algorithms and computer science methods, these AI systems can then generate human-like text, translate languages with impressive accuracy, and produce creative content that mimics different styles. This gap highlights the vast difference between current AI and the potential of AGI.

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Unite.AI

MAY 21, 2024

Despite the critical need for AI investment, businesses still face significant barriers to broader implementation. As AI deployment grows, it will become even more important for businesses to ensure strong data foundations. Exasol offers flexibility, resilience and scalability to businesses adopting an AI strategy.

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AWS Machine Learning Blog

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. Use case overview Using generative AI, we built Account Summaries by seamlessly integrating both structured and unstructured data from diverse sources.

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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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Viso.ai

NOVEMBER 19, 2023

Many businesses are exploring and investing in AI solutions to stay competitive and enhance their business processes. This is because AI has the ability to automate tasks and processes that would otherwise not be possible or carried out by humans. As of August 15, 2023, Google Cloud IoT Core service will no longer be available.

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AWS Machine Learning Blog

JUNE 7, 2023

Starting June 7th, both Falcon LLMs will also be available in Amazon SageMaker JumpStart, SageMaker’s machine learning (ML) hub that offers pre-trained models, built-in algorithms, and pre-built solution templates to help you quickly get started with ML. Will Badr is a Sr.

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O'Reilly Media

FEBRUARY 18, 2025

You start with LLM invocations (both synthetic and human-generated), then simultaneously: Run unit tests to catch regressions and verify expected behaviors Collect detailed logging traces to understand model behavior These feed into evaluation and curation (which needs to be increasingly automated over time).

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DataRobot Blog

AUGUST 16, 2022

If you’ve been keeping up with business literature lately, you know that adopting artificial intelligence (AI) strategies can increase company revenue, improve efficiency, and keep customers happy. ML Software Development. But even the best models cannot improve performance until they are put into production.

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ODSC - Open Data Science

SEPTEMBER 19, 2023

Now 2 days (October 31st — November 1st), expert speakers from industry, academia, and government will discuss how to navigate the implementation and adoption of AI for organizations. Explore strategies for elevating innovation, customization, and efficiency across industries.

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Kavita Ganesan

SEPTEMBER 9, 2022

As this was an automation problem relating to data, the product manager (PM) immediately concluded that this was a machine learning problem. The PM then “hired” the company’s data science team to build ML models to solve the problem. Such confusion around AI and where it’s best employed happens more often than we think.

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ODSC - Open Data Science

FEBRUARY 28, 2023

To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making. Narrowing the communications gap between humans and machines is one of SAS’s leading projects in their work with NLP.

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Pickl AI

NOVEMBER 3, 2023

Discover how Artificial Intelligence (AI) is altering the stock trading sector. This article explores the emergence, development, and benefits of AI in the stock market, including data-driven insights and automated decision-making It emphasizes how AI can forecast market trends and patterns using historical data and in-the-moment analysis.

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Kavita Ganesan

OCTOBER 21, 2022

A Twitter bot is essentially a Twitter account controlled by software automation rather than an actual human. This is what happened with Tay, an AI Twitter bot from 2016. Tay was an experiment at the intersection of ML, NLP, and social networks. This is true of any ML model. ML models can learn from controlled data.

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Snorkel AI

APRIL 20, 2023

According to another survey seen and reported on by Business Insider, 75% of respondents working at banks with more than $100 billion in assets were currently implementing AI strategies. But for most organizations, the path to customizing ML models and improving their accuracy is neither straightforward nor scalable.

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Snorkel AI

APRIL 20, 2023

According to another survey seen and reported on by Business Insider, 75% of respondents working at banks with more than $100 billion in assets were currently implementing AI strategies. But for most organizations, the path to customizing ML models and improving their accuracy is neither straightforward nor scalable.

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AWS Machine Learning Blog

MARCH 28, 2024

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. Niithiyn works closely with the Generative AI GTM team to enable AWS customers on multiple fronts and accelerate their adoption of generative AI.

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DataRobot Blog

FEBRUARY 15, 2023

1 In order to drive this kind of AI success, you need a cross-functional team engaged in the process, invested in outcomes, and feeling a sense of responsibility along the entire lifecycle. In this example, we take a deep dive into how real estate companies can effectively use AI to automate their investment strategies.

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