Marktechpost

AUGUST 21, 2023

When combined with data from other sources, including marketing data platforms, Excel may provide invaluable insights quickly. It also supports the development of Google Appscript code snippets, which may be used to automate repetitive tasks.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Explainability AI 98

IBM Journey to AI blog

DECEMBER 5, 2023

While generative AI currently makes up only 9% of the retail industry’s bottom line impact in 2023, IHL anticipates generative AI will grow to represent 78% of the total financial impact by 2029, reaching a total of USD 4.4 trillion on retail businesses through 2029. trillion in that year.

Generative AI 244

Generative AI AI AI Automation 244

IBM Journey to AI blog

SEPTEMBER 6, 2023

In a May 2023 survey carried out by IBM and Momentive.ai , 67% of CMOs reported that they plan on implementing generative AI in the next 12 months and 86% plan to do so within 24 months. Take the first step toward generative AI with the right data sources and architecture to support the access, quality, richness and protection of your brand.

Generative AI 328

Generative AI AI AI AI Tools 328

IBM Journey to AI blog

JANUARY 9, 2024

Successful hybrid cloud strategies require a unified control and management plane, enabling automated deployment of applications across various environments, comprehensive observability and improved cyber resiliency.

Data Ingestion 233

Data Ingestion Automation Data Platform AI Modeling 233

IBM Journey to AI blog

JUNE 19, 2024

IBM unveiled its new AI and data platform, watsonx™, which offers RAG, back in May 2023. As a fully managed serverless platform, IBM Cloud Code Engine can scale the application with ease through automation capabilities that manage and secure the underlying infrastructure.

Generative AI 298

Generative AI Natural Language Processing Chatbots LLM 298

IBM Journey to AI blog

DECEMBER 15, 2023

A 2023 Gartner study found that 58% of leaders identified business growth as one of their most important goals. The use of simple automation Many customer service tasks can and should be automated rather than require a customer to talk to a customer service agent. Customer service is a necessary component of this strategy.

Machine Learning 222

Machine Learning Artificial Intelligence Artificial Intelligence Conversational AI 222

IBM Journey to AI blog

JUNE 21, 2023

And this year, Wimbledon is tapping into the power of generative AI, producing new digital experiences on the Wimbledon app and website using IBM’s new trusted AI and data platform, watsonx. It lists all potential matchups in the draw, ranked by the IBM Likely to Play.

Natural Language Processing 223

Natural Language Processing AI AI Large Language Models 223

IBM Journey to AI blog

JULY 17, 2023

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. The LLM solution has resulted in an 80% reduction in manual effort and in 90% accuracy of automated tasks. Watsonx.ai

Generative AI 188

Generative AI Auto-complete AI AI 188

IBM Journey to AI blog

AUGUST 13, 2024

An early hint of today’s natural language processing (NLP), Shoebox could calculate a series of numbers and mathematical commands spoken to it, creating a framework used by the smart speakers and automated customer service agents popular today.

Robotics 189

Robotics Machine Learning Neural Network AI 189

IBM Journey to AI blog

JULY 27, 2023

IBM Partner Plus is a learning engine that unlocks the power of AI At the start of 2023 we introduced IBM Partner Plus , emphasizing expertise as the path to partner growth. Unsurprisingly, the hunger for AI-based solutions has created high demand for education around Automation.

Natural Language Processing 189

Natural Language Processing AI AI Generative AI 189

Marktechpost

JULY 17, 2023

Consider retail automation in the shape of an Amazon Go location, where a computer vision system monitors shoppers to ensure no one leaves with any five-finger discounts. To educate self-driving cars on how to avoid killing people, the business concentrates on some of the most challenging use cases for its synthetic data platform.

Machine Learning 52

Machine Learning Data Scientist Computer Vision Deep Learning 52

IBM Journey to AI blog

AUGUST 3, 2023

Watson Orchestrate can help automate and enhance the acquisition lifecycle from a single user interface that integrates with applications across our partner ecosystem. A 2023 Forrester Consulting Total Economic Impact™ study , commissioned by IBM, showed an ROI of 370% over three years with IBM Watson Assistant.

Generative AI 100

Generative AI Automation Data Platform Responsible AI 100

Unite.AI

FEBRUARY 21, 2024

Airflow provides the workflow management capabilities that are integral to modern cloud-native data platforms. It automates the execution of jobs, coordinates dependencies between tasks, and gives organizations a central point of control for monitoring and managing workflows.

LLM 147

LLM Software Engineer Data Platform Chatbots 147

NVIDIA

DECEMBER 11, 2023

Since the beginning of 2023, announcements have been made about 14 investments. Databricks offers an industry-leading data platform for machine learning, while Cohere provides enterprise automation through AI. The portfolio also includes next-generation enterprise solutions. Other notable companies are Recursion, Kore.ai

Robotics 139

Robotics Automation AI AI 139

IBM Journey to AI blog

DECEMBER 18, 2023

We also recently announced IBM and VMware are pairing VMware Cloud Foundation, Red Hat OpenShift and the IBM watsonx AI and data platform. Additionally, clients can optionally use IBM Cloud Satellite to automate and simplify deployment and day two operations of their VMware Private AI with OpenShift environments.

AI 214

AI AI Generative AI Data Platform 214

IBM Journey to AI blog

MAY 21, 2024

As Victor Orta, Sevilla FC Sporting Director, explained at his conference during the World Football Summit in 2023: “We are never going to sign a player with data alone, but we will never do it without resorting to data either. In fact, paperwork is a much more significant part of the job than one might imagine.

NLP 222

NLP Natural Language Processing Explainability Big Data 222

AWS Machine Learning Blog

SEPTEMBER 6, 2024

We used Amazon’s Q2 2023 10Q report as the source document from the SEC’s public EDGAR dataset to create 10 question-answer-fact triplets. The 10Q report contains details on company financials and operations over the Q2 2023 business quarter. Amazon’s total net sales for the second quarter of 2023 were $134.4

Generative AI 80

Generative AI LLM AI AI 80

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.

Machine Learning 189

Machine Learning Metadata AI AI 189

IBM Journey to AI blog

MARCH 27, 2024

Company leadership is already trumpeting new data processing applications and how smoothly already favored apps will be integrated into the new, high-performance system. Still others are wowed by the promise of artificial intelligence (AI) and automation that hyperscale data centers offer. appeared first on IBM Blog.

Artificial Intelligence 306

Artificial Intelligence Artificial Intelligence Data Platform Automation 306

AWS Machine Learning Blog

JUNE 18, 2024

On December 6 th -8 th 2023, the non-profit organization, Tech to the Rescue , in collaboration with AWS, organized the world’s largest Air Quality Hackathon – aimed at tackling one of the world’s most pressing health and environmental challenges, air pollution.

Generative AI 107

Generative AI Data Ingestion Python LLM 107

Pickl AI

OCTOBER 25, 2023

From voice assistant to automated mail replies to speech recognition, there are myriads of things where we deploy these technologies. Although we talk about AI and Big Data at the same length, there is an underlying difference between the two. This data is captured through IoT.

Big Data 52

Big Data Artificial Intelligence Artificial Intelligence Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 15, 2023

In order analyze the calls properly, Principal had a few requirements: Contact details: Understanding the customer journey requires understanding whether a speaker is an automated interactive voice response (IVR) system or a human agent and when a call transfer occurs between the two. ©2023 Principal Financial Services, Inc.

Data Ingestion 117

Data Ingestion Metadata NLP Data Scientist 117

IBM Journey to AI blog

APRIL 18, 2024

Today’s AI, including generative AI (gen AI), is often called narrow AI and it excels at sifting through massive data sets to identify patterns, apply automation to workflows and generate human-quality text. However, these systems lack genuine understanding and can’t adapt to situations outside their training.

Neural Network 259

Neural Network LLM AI AI 259

The MLOps Blog

JANUARY 26, 2024

Keeping track of how exactly the incoming data (the feature pipeline’s input) has to be transformed and ensuring that each model receives the features precisely how it saw them during training is one of the hardest parts of architecting ML systems. One of the core principles of MLOps is automation. What is a feature store?

Machine Learning 72

Machine Learning Metadata ML Python 72

Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions. Catch the sessions you missed!

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions. Catch the sessions you missed!

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Mlearning.ai

FEBRUARY 16, 2023

Bulk Data Load Data migration to Snowflake can be a challenge. The solution provides Snowpipe for extended data loading; however, sometimes, it’s not the best option. There can be alternatives that expedite and automate data flows. Originally published at [link] on February 9, 2023.

Business Intelligence 52

Business Intelligence Data Ingestion Metadata Machine Learning 52

Snorkel AI

MAY 26, 2023

Almost all their business decisions are being aided by decisions made by AI and ML systems, be it automated decisions or hybrid that are in conjunction with humans. And how we do that is by letting our customers develop a single source of truth for their data in Snowflake. And so then what I can do is automate these as pipelines.

ML 52

ML Python Machine Learning Data Scientist 52

Snorkel AI

MAY 26, 2023

Almost all their business decisions are being aided by decisions made by AI and ML systems, be it automated decisions or hybrid that are in conjunction with humans. And how we do that is by letting our customers develop a single source of truth for their data in Snowflake. And so then what I can do is automate these as pipelines.

ML 52

ML Python Machine Learning Data Scientist 52

IBM Journey to AI blog

SEPTEMBER 25, 2023

Uber’s prowess as a transportation, logistics and analytics company hinges on their ability to leverage data effectively. The pursuit of hyperscale analytics The scale of Uber’s analytical endeavor requires careful selection of data platforms with high regard for limitless analytical processing.

Automation 265

Automation ETL Data Scientist Data Platform 265

The MLOps Blog

MARCH 21, 2023

It should be able to version the project assets of your data scientists, such as the data, the model parameters, and the metadata that comes out of your workflow. Automation You want the ML models to keep running in a healthy state without the data scientists incurring much overhead in moving them across the different lifecycle phases.

Machine Learning 69

Machine Learning Data Scientist Metadata ML 69

IBM Journey to AI blog

AUGUST 3, 2023

Another challenge with data being rapidly moved to the cloud and stored across multiple environments means it is highly likely for enterprises to lose visibility of their sensitive data. The risks include non-compliance to regulatory requirements and can lead to excessive hoarding of sensitive data when it’s not necessary.

Natural Language Processing 189

Natural Language Processing Data Discovery Automation Big Data 189