Marktechpost

APRIL 20, 2024

Rapid technological advancement is transforming the data analysis industry. Artificial intelligence (AI) quickly changes workflows, potentially automating activities and generating deeper insights. As users type, it suggests AI-powered code snippets, automating repetitive operations with scheduled Python block execution.

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Data Scientist Data Analysis Python Automation 112

IBM Journey to AI blog

AUGUST 2, 2023

This type of customer care was a process that could certainly be automated. Lack of automation also raised the issue that digital customer care was bound within specified hours. Watson Assistant is a versatile solution for a wide range of services and can be a powerful tool in IT automation. –5 p.m.

Conversational AI 184

Conversational AI Chatbots Automation Natural Language Processing 184

IBM Journey to AI blog

DECEMBER 5, 2023

Generative AI can likewise use historical sales data and external factors to help predict demand more accurately to prevent stockouts and excess inventory while also automating inventory replenishment and allocation. By efficiently managing these aspects, retailers can streamline their operations and boost overall performance.

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Generative AI AI AI Automation 239

IBM Journey to AI blog

JUNE 12, 2023

A long-standing partnership between IBM Human Resources and IBM Global Chief Data Office (GCDO) aided in the recent creation of Workforce 360 (Wf360), a workforce planning solution using IBM’s Cognitive Enterprise Data Platform (CEDP). What is data quality? First they need to know if the data is accurate.

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Data Quality Automation Data Ingestion Data Platform 175

IBM Journey to AI blog

FEBRUARY 13, 2024

Automate tedious, repetitive tasks. Generative AI is being used to automatically update and maintain code across different platforms. Project management and operations : Generative AI tools can support project managers with automation within their platforms. Best practices are evolving rapidly.

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Generative AI AI AI Chatbots 320

IBM Journey to AI blog

SEPTEMBER 20, 2023

On the backend, AI likewise has the potential to supercharge digital modernization in by, for example, automating the migration of legacy software to more flexible cloud-based applications, or accelerating mainframe application modernization. Agency for International Development’s Global Health Supply Chain Program.

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Generative AI AI AI Explainability 281

IBM Journey to AI blog

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.”

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Machine Learning AI AI ML 224

IBM Journey to AI blog

DECEMBER 15, 2023

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. These simple automations answer the customer’s needs while saving their time—they don’t have to call customer support and wait for a human representative.

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Machine Learning Artificial Intelligence Artificial Intelligence Conversational AI 193

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.

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Data Ingestion Automation Data Platform AI 189

IBM Journey to AI blog

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

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ESG Metadata AI AI 242

IBM Journey to AI blog

DECEMBER 14, 2023

IBM introduced watsonx as the AI and data platform built for business. A deployable architecture is a cloud automation for deploying a common architectural pattern that combines one or more cloud resources that are designed for easy deployment, scalability and modularity. Automated regression tests are a dynamite.

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Automation Large Language Models Software Development Data Platform 187

IBM Journey to AI blog

AUGUST 2, 2023

Wf360 delivers one integrated HR profile spanning career, skills, performance, learning, and compensation, incorporating both daily snapshots and historical data. What is data quality? With its automation capabilities, IBM Knowledge Catalog enforces business data quality rules and identifies anomalies.

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Data Quality Automation Data Scientist Data Platform 168

IBM Journey to AI blog

AUGUST 1, 2023

As the demand for more and better content explodes, top global companies, including IBM, are now doubling down on automation and AI. We are currently focused on accelerating delivery and execution, starting with demand automation. We have gone from using three different demand tools down to just one.

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Generative AI Automation AI AI 167

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

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Generative AI Auto-complete AI AI 151

SAS Software

MARCH 5, 2024

The term “marketing cloud” became popular in the early 2010s with the promise that it could manage and automate marketing operations across numerous channels such as email, mobile, social and web. While marketing clouds have evolved over the years (mainly through acquisition), one thing has remained consistent: They do not [.]

Automation 114

Automation Data Platform 114

IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

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Data Quality Metadata ETL Big Data 130

Unite.AI

JANUARY 18, 2024

AI has proven to be useful in task automation and process optimization, as well as in promoting creativity and innovation. However, as data complexity and diversity continue to increase, there is a growing need for more advanced AI models that can comprehend and handle these challenges effectively.

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Computer Vision OpenAI Artificial Intelligence Artificial Intelligence 264

NVIDIA

DECEMBER 11, 2023

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

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Robotics Automation AI AI 132

IBM Journey to AI blog

JULY 27, 2023

Unsurprisingly, the hunger for AI-based solutions has created high demand for education around Automation. Partners can now embed core AI technology like Watson Natural Language Processing (NLP) to make application experiences more intelligent, or Watson Discovery to infuse automation into core business workflows.

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Natural Language Processing AI AI Generative AI 156

IBM Journey to AI blog

JUNE 8, 2023

The reefs are also equipped with the BluBoxx™ ocean data platform, and can be adapted to different environments to monitor and collect a wide range of ocean data.

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ESG Data Platform Actionable Intelligence Business Intelligence 216

IBM Journey to AI blog

SEPTEMBER 6, 2023

Watsonx , IBM’s enterprise-ready AI and data platform, is designed to help marketing and other business leaders confidently move into the generative AI arena. For decades, IBM has been at the forefront of AI for business. We provide solutions and services that help marketers implement generative AI responsibly and effectively.

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Generative AI AI AI AI Tools 311

IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

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Data Science Data Scientist Machine Learning Data Mining 216

IBM Journey to AI blog

JUNE 23, 2023

Digital transformation Insurance companies are reducing cost and providing better customer experience by using automation, digitizing the business, and encouraging customers to use self-service channels. It used to be that insurance companies used a combination of automated workflow, a business rules engine and content management software.

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Automation Neural Network Large Language Models Generative AI 158

AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

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Machine Learning DevOps Data Quality Data Scientist 114

IBM Journey to AI blog

DECEMBER 13, 2023

From there, the chatbot uses automation to scan the database of responses and provide the most relevant response. IBM Consulting offers end-to-end consulting capabilities in experience design and service, data and AI transformation.

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Chatbots Generative AI DevOps Conversational AI 209

AWS Machine Learning Blog

AUGUST 4, 2023

As a result, businesses can accelerate time to market while maintaining data integrity and security, and reduce the operational burden of moving data from one location to another. With Einstein Studio, a gateway to AI tools on the data platform, admins and data scientists can effortlessly create models with a few clicks or using code.

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Data Scientist ML ETL AI 73

IBM Journey to AI blog

DECEMBER 5, 2023

AI can provide automated chat support, live script recommendations for representatives on phone calls with customers, predictive issue resolution, and other enhancements that help customer service reps do their jobs quicker and more effectively.

Chatbots 176

Chatbots Conversational AI Generative AI Automation 176

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. The quality of input data greatly influences the effectiveness of AI models.

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Big Data Artificial Intelligence Artificial Intelligence Machine Learning 52

ODSC - Open Data Science

JULY 20, 2023

According to reports from the Wall Street Journal, the goal is to provide IBM with “greater automation capabilities.” For those unaware, Apptio is a provider of automated software cost management and other hybrid-IT tools. These moves signal to some that IBM is going in deep with automation. Customer Support Startup Cohere.io

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Automation Machine Learning Neural Network AI 52

The MLOps Blog

MARCH 15, 2023

As the volume of data keeps increasing at an accelerated rate, these data tasks become arduous in no time leading to an extensive need for automation. This is what data processing pipelines do for you. Let’s understand how the other aspects of a data pipeline help the organization achieve its various objectives.

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ETL Categorization Automation Data Integration 59

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.

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AI AI Generative AI AI Modeling 181

DataRobot Blog

AUGUST 1, 2022

Over the past 10 years, DataRobot has brought to market new technologies at an unmatched pace, from our early days pioneering AutoML to the industry’s first automated time series capabilities to delivering hundreds of new and enhanced features last year when we introduced DataRobot AI Cloud. Why DataRobot?

AI 98

AI AI Data Platform Explainability 98

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.

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Neural Network LLM AI AI 244

DataRobot Blog

AUGUST 10, 2022

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

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Data Platform AI AI Automation 52

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.

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Artificial Intelligence Artificial Intelligence Data Platform Automation 278

AWS Machine Learning Blog

FEBRUARY 13, 2024

The implementation of an AI-powered automated self-checkout system delivers an improved retail customer experience through innovation, while eliminating human errors in the checkout process. Integrating FSx for Lustre enables fast parallel data access for efficient model retraining with hundreds of new SKUs monthly.

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Computer Vision Convolutional Neural Networks AI AI 102

IBM Journey to AI blog

JULY 7, 2023

Use dedicated data security software. An integrated data protection system can protect your assets by monitoring them, automating access control, setting up notifications, and auditing your password management. Secure databases in the physical data center, big data platforms and the cloud.

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Automation Categorization Big Data Data Platform 100