IBM Journey to AI blog

FEBRUARY 13, 2024

They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity. In addition, Well-developed prompts and inputs direct generative models to output creative content for emails, blogs, social media posts and websites. Existing content can be reimagined and edited using AI tools.

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IBM Journey to AI blog

APRIL 18, 2024

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.

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Pickl AI

OCTOBER 25, 2023

Although we talk about AI and Big Data at the same length, there is an underlying difference between the two. In this blog, our focus will revolve around Big Data and Artificial Intelligence. Machine Learning algorithms enable systems to learn and improve from data without being explicitly programmed.

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IBM Journey to AI blog

NOVEMBER 10, 2023

When combined with artificial intelligence (AI), an interoperable healthcare data platform has the potential to bring about one of the most transformational changes in history to US healthcare, moving from a system in which events are currently understood and measured in days, weeks, or months into a real-time inter-connected ecosystem.

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IBM Journey to AI blog

MAY 9, 2023

Watsonx.data will be core to IBM’s new AI and Data platform, IBM watsonx, announced today at IBM Think. “IBM and Cloudera customers will benefit from a truly open and interoperable hybrid data platform that fuels and accelerates the adoption of AI across an ever-increasing range of use cases and business processes.”

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IBM Journey to AI blog

DECEMBER 20, 2023

Many retailers’ e-commerce platforms—including those of IBM, Amazon, Google, Meta and Netflix—rely on artificial neural networks (ANNs) to deliver personalized recommendations. AI studio The post Five machine learning types to know appeared first on IBM Blog. Explore the watsonx.ai

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AWS Machine Learning Blog

AUGUST 3, 2023

She is passionate about helping customers innovate with Big Data and Artificial Intelligence technologies to tap business value and insights from data. She has experience in working on data platform and AI/ML projects in the healthcare and life sciences vertical. Srikrishna focuses on computer vision and NLP.

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IBM Journey to AI blog

AUGUST 1, 2023

Foundation models can be trained to perform tasks such as data classification, the identification of objects within images (computer vision) and natural language processing (NLP) (understanding and generating text) with a high degree of accuracy. models are trained on IBM’s curated, enterprise-focused data lake.

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IBM Journey to AI blog

JUNE 8, 2023

He then selected Krista’s AI-powered intelligent automation platform to optimize Zimperium’s project management suite, messaging solutions, development and operations (DevOps). The post How Krista Software helped Zimperium speed development and reduce costs with IBM Watson appeared first on IBM Blog.

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IBM Journey to AI blog

SEPTEMBER 7, 2023

They are widely applicable across industries, and support other NLP tasks such as content generation, insight extraction and retrieval-augmented generation (a framework for improving the quality of response by linking the model to external sources of knowledge) and named entity recognition (identifying and extracting key information in a text).

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IBM Journey to AI blog

SEPTEMBER 20, 2023

Large language models (LLMs) are a class of foundational models (FM) that consist of layers of neural networks that have been trained on these massive amounts of unlabeled data. This enables enterprises to scale AI deployments at the edge, reducing the time and cost to deploy with faster response times.

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IBM Journey to AI blog

JULY 17, 2023

The watsonx platform has three components: watsonx.ai (now available), watsonx.data (now available) and watsonx.governance (expected availability in November). In this blog, I will cover: What is watsonx.ai? What capabilities are included in watsonx.ai? What is watsonx.data? What capabilities are included in watsonx.data?

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AWS Machine Learning Blog

NOVEMBER 15, 2023

As a first step, they wanted to transcribe voice calls and analyze those interactions to determine primary call drivers, including issues, topics, sentiment, average handle time (AHT) breakdowns, and develop additional natural language processing (NLP)-based analytics.

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IBM Journey to AI blog

OCTOBER 20, 2023

These development platforms support collaboration between data science and engineering teams, which decreases costs by reducing redundant efforts and automating routine tasks, such as data duplication or extraction.

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Marktechpost

AUGUST 21, 2023

When combined with data from other sources, including marketing data platforms, Excel may provide invaluable insights quickly. Excel Formula Bot The Excel Formula Bot is an online tool that uses NLP algorithms to create custom formulas in Excel or Google Sheets in response to user-supplied text input.

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Pickl AI

JULY 10, 2023

R’s machine learning capabilities allow for model training, evaluation, and deployment. · Text Mining and Natural Language Processing (NLP): R offers packages such as tm, quanteda, and text2vec that facilitate text mining and NLP tasks.

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The MLOps Blog

OCTOBER 3, 2023

For example, Shopify published a blog post about Merlin. That’s a huge part of what they do, so NLP is very big there, obviously. And in terms of the engineering side of the house, there were six on my team, there might’ve been six on the serving team, and another six on the data integrations and monitoring team.

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Artificial Corner

JUNE 6, 2023

Cloud-based data storage solutions, such as Amazon S3 (Simple Storage Service) and Google Cloud Storage, provide highly durable and scalable repositories for storing large volumes of data. The integration of AI and ML into data engineering pipelines enables a wide range of applications.

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IBM Journey to AI blog

AUGUST 3, 2023

IBM Security® Discover and Classify (ISDC) is a data discovery and classification platform that delivers automated, near real-time discovery, network mapping and tracking of sensitive data at the enterprise level, across multi-platform environments.

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Bugra Akyildiz

FEBRUARY 24, 2024

Streaming data platforms: Apache Kafka and Apache Flink enable real-time ingestion and processing of user actions, clickstream data, and product catalogs, feeding fresh data to the models. This translates to longer session durations, increased page views, and deeper user engagement.

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The MLOps Blog

MARCH 21, 2023

They work with other users to make sure the data reflects the business problem, the experimentation process is good enough for the business, and the results reflect what would be valuable to the business. Learn more about this component in this blog post about the ML metadata store, what it is, why it matters, and how to implement it.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

SageMaker Canvas SageMaker Canvas enables business analysts and data science teams to build and use ML and generative AI models without having to write a single line of code. Einstein Studio is a gateway to AI tools on Salesforce Data Cloud.

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