IBM Big Data Hub

MAY 25, 2023

The Center of Excellence (CoE) already has more than 1,000 consultants with specialized generative AI expertise that are engaging with a global set of clients to drive productivity in IT operations and core business processes like HR or marketing, elevate their customer experiences and create new business models.

Consulting 110

Consulting Experimentation Machine Learning Modeling 110

CIO Business Intelligence

APRIL 25, 2023

A transformer is a type of AI deep learning model that was first introduced by Google in a research paper in 2017. Five years later, transformer architecture has evolved to create powerful models such as ChatGPT. Meanwhile, however, many other labs have been developing their own generative AI models.

Experimentation 116

Experimentation Enterprise Deep Learning Modeling 116

DataRobot Blog

MARCH 8, 2023

Leveraging DataRobot’s JDBC connectors, enterprise teams can work together to train ML models on their data residing in SAP HANA Cloud and SAP Data Warehouse Cloud, as well as have an option to enrich it with data from external data sources. Tune in to learn more. Registration is free for both events.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

CIO Business Intelligence

FEBRUARY 16, 2024

The cloud-native advantage ADP’s aggressive, early digital transformation has paid off nicely: Its expanded HCM portfolio is served to more than 1 million customers globally, up from 800,000 several years ago, with revenues at $18 billion in fiscal year 2023, up from $13 billion five years prior. It allows others to move very quickly as well.

Digital Transformation 116

Digital Transformation Experimentation Cost-Benefit Machine Learning 116

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications. The impact of these investments will become evident in the coming years.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

Dataiku

MARCH 25, 2024

This scenario is not science fiction but a glimpse into the capabilities of Multimodal Large Language Models (M-LLMs), where the convergence of various modalities extends the landscape of AI. But instead, a machine seamlessly identifies the scene and its location, provides a detailed description, and even suggests nearby attractions.

Visualization 132

Visualization Modeling Experimentation Testing 132

CIO Business Intelligence

APRIL 12, 2024

With information about products and availability constantly changing, Tractor Supply sees Hey GURA as a “knowledge base and a training platform,” says Rob Mills, chief technology, digital commerce, and strategy officer at Tractor Supply. Customers may have questions about plants to grow in a certain climate zone, for example.

Experimentation 116

Experimentation Sales Digital Transformation Metrics 116

CIO Business Intelligence

JULY 3, 2023

But the rise of large language models (LLMs) is starting to make true knowledge management (KM) a reality. These models can extract meaning from digital data at scale and speed beyond the capabilities of human analysts. The application of LLMs to an organization’s knowledge assets has the potential to accelerate these trends.

Management 105

Management Experimentation Modeling Enterprise 105

CIO Business Intelligence

OCTOBER 18, 2023

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 141

Risk Manufacturing Enterprise Technology 141

CIO Business Intelligence

JULY 27, 2023

With the ability to instantaneously ingest reams of data using large language models (LLMs), generative AI technologies such as OpenAI’s ChatGPT and Google’s Bard can produce reports, contracts, and application code far surpassing earlier technologies in speed, accuracy, and thoroughness. Other CIOs have adopted similar strategies.

IT 98

IT Insurance Strategy Risk 98

CIO Business Intelligence

DECEMBER 29, 2023

Among the various strategies at our disposal, automation stands out as a pivotal solution,” she says. “In Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools.

Cost-Benefit 139

Cost-Benefit Digital Transformation Consulting Strategy 139

AWS Big Data

AUGUST 21, 2023

For the demo, we’re using the Amazon Titan foundation model hosted on Amazon Bedrock for embeddings, with no fine tuning. If you are interested in exploring the multi-modal model, please reach out to your AWS specialist. With OpenSearch’s Search Comparison Tool , you can compare the different approaches.

Data Processing 92

Data Processing Experimentation Visualization Metrics 92

CIO Business Intelligence

JANUARY 2, 2024

With AI being the talk of 2023, [there were questions on] how do we, as a company, handle its adoption, governance, and education about it to our employees,” he says. He plans to scale his company’s experimental generative AI initiatives “and evolve into an AI-native enterprise” in 2024. IT Leadership, IT Strategy

IT 144

IT Cost-Benefit Statistics Consulting 144

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

AUGUST 17, 2023

Generative AI is a key part of our business strategy, facilitating growth with AI-enabled processes already live in production,” he says. We’ve been shortlisting and building out potential proof-of-concept options and modelling revenue impact and already taken one concept through our innovation lab and into live production.”

Risk 98

Risk Cost-Benefit Strategy Experimentation 98

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 97

Cost-Benefit Modeling Manufacturing Interactive 97

CIO Business Intelligence

JUNE 6, 2023

And the market for doing so remains robust for corporations looking to make the most of the model. CIOs should have plans for the upsides and also develop risk mitigation strategies. For example, startups are likelier to have advanced devops practices that enable continuous deployments and feature experimentation.

Key Performance Indicator 105

Key Performance Indicator Cost-Benefit Enterprise Experimentation 105

CIO Business Intelligence

DECEMBER 6, 2023

Some of the most vocal complaints about generative AI have come from authors and artists unhappy at having their work used to train large language models (LLMs) without permission. But these Guardian polls appear to have been published on Microsoft properties with millions of visitors by automated systems with no human approval required.

IT 133

IT Risk Management Interactive Modeling 133

CIO Business Intelligence

AUGUST 25, 2023

It’s around these four work streams that leading organizations are positioning themselves to mature their data strategies and, in doing so, answer not only today’s AI questions but tomorrow’s. Someone has to develop, train, and supervise the models,” he explains. “…the You can’t wrangle AI by yourself. Experiment.

Strategy 98

Strategy Data Strategy Experimentation Uncertainty 98

AWS Big Data

NOVEMBER 14, 2023

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

CIO Business Intelligence

JULY 7, 2023

Improving employee productivity and collaboration is a top business objective, according to the 2023 Foundry Digital Business Study. Adopting a strategy for single identity and access management not only assists with enforcing security policies organization-wide, but also optimizes the employee experience,” Krumova said.

Measurement 122

Measurement Risk Experimentation Enterprise 122

IBM Big Data Hub

JANUARY 17, 2023

Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. In 2023, we have four entry points aligned to common data & AI stakeholder challenges. AI is no longer experimental. Start a trial.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

CIO Business Intelligence

SEPTEMBER 27, 2023

Identifying worthwhile use cases Hackajob, a company that provides a platform for organizations to find and recruit IT and developer talent, began piloting generative AI models in the second half of 2022 as part of an informal research and development initiative to explore emerging technology trends.

Strategy 126

Strategy Risk Data-driven Modeling 126

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber’s DNA as an analytics company At its core, Uber’s business model is deceptively simple: connect a customer at point A to their destination at point B. Next, they build model data sets out of the snapshots, cleanse and deduplicate the data, and prepare it for analysis as Parquet files. It lands as raw data in HDFS.

OLAP 95

OLAP Data Lake Data-driven Snapshot 95