CIO Business Intelligence

NOVEMBER 25, 2024

In Session 2 of our Analytics AI-ssentials webinar series , Zeba Hasan, Customer Engineer at Google Cloud, shared valuable insights on why data quality is key to unlocking the full potential of AI. In the meantime, discover how Felix AI can transform your customer insights and drive more informed decisions.

Data Quality 99

Data Quality ROI Interactive Modeling 99

O'Reilly on Data

JUNE 11, 2024

At O’Reilly, we’re not just building training materials about AI. It would have been very difficult to develop the expertise to build and train a model, and much more effective to work with a company that already has that expertise. For example, if you ask it “Who won the world series?” With RAG, adding content is trivial.

Modeling 340

Modeling Experimentation Interactive Data-driven 340

O'Reilly on Data

MAY 21, 2019

Modernize existing applications such as recommenders, search ranking, time series forecasting, etc. Thus, many developers will need to curate data, train models, and analyze the results of models. Sometime in Q3/Q4 of 2019, specialized hardware for training deep learning models will become available. images, audio, video.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

O'Reilly on Data

MARCH 23, 2023

which has received some specialized training. The GPT-series LLMs are also called “foundation models.” with specialized training. Sydney is based on GPT-4, 1 with additional training. Kosmos-1 Developed by Microsoft, and trained on image content in addition to text. An API for ChatGPT is available. GPT-2, 3, 3.5,

IT 348

IT Modeling Testing Risk 348

O'Reilly on Data

JUNE 18, 2019

In general, there are two main lines of work toward that goal: (1) clean the data you have, and (2) generate more data to help train needed models. However, the quest for more data is not over, for two main reasons: ML models for cleaning and unification often need training data and examples of possible errors or matching records.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

CIO Business Intelligence

JANUARY 30, 2025

According to Alessandro Proietti, customer experience and innovation director of The Adecco Group Italy, another AI Pact member, the AI Act is a complex, but necessary law: the EU has rightly intervened to regulate AI not in a way that blocks it but to define the perimeter within which it can be used.

Enterprise 128

Enterprise Risk Reporting Measurement 128

O'Reilly on Data

JUNE 19, 2019

We are also beginning to see researchers share sample code written in popular open source libraries, and some even share pre-trained models. A catalog or a database that lists models, including when they were tested, trained, and deployed. A catalog of validation data sets and the accuracy measurements of stored models.

Modeling 258

Modeling Machine Learning Testing Metrics 258

Cloudera

DECEMBER 4, 2024

Welcome to the first installment of a series of posts discussing the recently announced Cloudera AI Inference service. Services like Hugging Face and the ONNX Model Zoo made it easy to access a wide range of pre-trained models. System metrics, such as inference latency and throughput, are available as Prometheus metrics.

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

AWS Big Data

MARCH 13, 2025

Capabilities from Amazon Bedrock are now generally available in SageMaker Unified Studio, allowing you to rapidly prototype, customize, and share generative AI applications in a governed environment. When we build data-driven applications for our customers, we want a unified platform where the technologies work together in an integrated way.

Analytics 113

Analytics Data Lake Data Warehouse Data-driven 113

O'Reilly on Data

OCTOBER 13, 2020

Our previous articles in this series introduce our own take on AI product management , discuss the skills that AI product managers need , and detail how to bring an AI product to market. SLOs can be useful for both paid and unpaid accounts, as well as internal and external customers.”.

Management 314

Management Machine Learning Metrics Modeling 314

O'Reilly on Data

NOVEMBER 13, 2018

In our own online training platform (which has more than 2.1 Below are the top search topics on our training platform: Beyond “search,” note that we’re seeing strong growth in consumption of content related to ML across all formats—books, posts, video, and training. Real modeling begins once in production.

Machine Learning 277

Machine Learning Risk Management Statistics 277

O'Reilly on Data

DECEMBER 19, 2018

Humans no longer implement code that solves business problems; instead, they define desired behaviors and train algorithms to solve their problems. We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data.

Machine Learning 279

Machine Learning Software Metadata Testing 279

O'Reilly on Data

AUGUST 18, 2020

These were rock solid at what they did–and “what they did” includes offering packages that are valuable to other parts of the company, such as accounting–but it was difficult for customers to adapt to new workloads over time. What happens when you want to start analyzing time series data? Consider user interfaces. Final Thoughts.

Data Science 364

Data Science Machine Learning Data Warehouse Deep Learning 364

O'Reilly on Data

MAY 14, 2020

Not only are the product’s raw components vastly different in different types of businesses (data, technology infrastructure, and talent), the types of AI products required to serve the customer also differ. In consumer companies, product managers are more likely to align directly with a feature team, and have much more customer-driven work.

Management 364

Management Experimentation B2B Machine Learning 364

DataRobot Blog

DECEMBER 6, 2022

These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage. Financial services customers are leading the way in creating consistent AI governance processes. Improve Customer Conversion Rates with AI. Read the blog.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. The consequences of bad data quality are numerous; from the accuracy of understanding your customers to constructing the right business decisions. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Rocket-Powered Data Science

JULY 19, 2023

Monitoring of data sources can include online web usage actions, streaming IT system patterns, system-generated log files, customer behaviors, environmental (ESG) factors, energy usage, supply chain, logistics, social and news trends, and social media sentiment. Observability represents the business strategy behind the monitoring activities.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. The Home Credit Default Risk problem is about predicting the chance that a customer will default on a loan, a common financial services industry problem set. The training of the model.

Machine Learning 137

Machine Learning Data Science Data Lake Modeling 137

Rocket-Powered Data Science

JULY 14, 2023

Consequently, low-latency data infrastructure is key for delivering low-latency analytics products that empower internal business users and external customer users to get their tasks done efficiently (as quickly as possible) and effectively (as much as possible).

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

AWS Big Data

AUGUST 7, 2023

Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift.

Forecasting 98

Forecasting Data Warehouse Machine Learning Modeling 98

CIO Business Intelligence

AUGUST 19, 2024

All aboard the multiagent train It might help to think of multiagent systems as conductors operating a train. You’ll have a lead conductor—a “boss” if you will—who doles out tasks to a series of other conductors, or subagents. How multiagents operate depends on the tasks and goals they’re designed to accomplish.

Sales 143

Sales Software Marketing Testing 143

CIO Business Intelligence

MARCH 15, 2022

Synthetic data is artificially generated information that can be used in place of real historic data to train AI models when actual data sets are lacking in quality, volume, or variety. To fill gaps in training data: Some data sets don’t fully reflect a company’s use cases. Synthetic data use cases.

Strategy 145

Strategy Testing Sales Modeling 145

CIO Business Intelligence

JANUARY 31, 2024

Regulators, investors, customers, and even employees are pushing companies to minimize the climate impact of their AI initiatives. He also recommends tapping the open-source community for models that can be pre-trained for various tasks. “All All those 13,000 new models didn’t require any pre-training,” he says.

Cost-Benefit 135

Cost-Benefit Modeling Testing IoT 135

CIO Business Intelligence

MAY 10, 2022

That’s certainly the approach Microsoft’s consultants are taking, moving just three small areas of its highly customized SAP software to Azure while they figure out processes. She hopes that their collaboration will also have helped educate SAP about running other customers’ workloads on IBM Power systems.

Consulting 132

Consulting Software Sales Enterprise 132

CIO Business Intelligence

SEPTEMBER 10, 2024

The series of AI and generative AI updates was announced at the company’s SuiteWorld conference in Las Vegas on Monday, accompanied by a new procurement solution and a connector for NetSuite customers who also depend on Salesforce as part of their enterprise mix. “We

IT 116

IT Cost-Benefit ROI Enterprise 116

CIO Business Intelligence

AUGUST 20, 2024

“ZT Systems’ extensive experience designing and optimizing cloud computing solutions will also help cloud and enterprise customers significantly accelerate the deployment of AMD-powered AI infrastructure at scale,” AMD said in a statement. ZT Systems effectively meets the specific design and integration requirements of these companies. “ZT

Manufacturing 129

Manufacturing Optimization Marketing Enterprise 129

Smart Data Collective

FEBRUARY 21, 2020

These days, nearly every company bigger than a “mom and pop” shop works to gather and analyze terabytes of data from their customers, hoping to better understand and serve them while one-upping the competition. Customer Perks. Many financial institutions are also using big data to make life easier for their customers.

Big Data 144

Big Data Machine Learning Statistics Predictive Analytics 144

CIO Business Intelligence

NOVEMBER 1, 2023

We want to accelerate and get generative AI technologies to customers,” said Walter Sun, SAP’s new global head of AI , in a conference call ahead of TechEd. At the same time, he said, SAP is investing in building a “large business model” — like an LLM, but trained on business transactions — that the company is uniquely placed to build.

Enterprise 132

Enterprise Cost-Benefit Unstructured Data Software 132

CIO Business Intelligence

OCTOBER 8, 2024

One analogy we talk about is, if you think of these as musicians, each of these expert agents can play an instrument and they’re trained to do that. By the end of this year, it will be available in SAP HANA Cloud, SAP LeanIX, SAP Sales Cloud, SAP Signavio, and to all S/4HANA Cloud Public Edition customers.

Business Objectives 130

Business Objectives ROI Finance Sales 130

CIO Business Intelligence

MAY 29, 2024

As part of the partnership with AWS, SAP users will be able to use AI services from the cloud hyperscaler’s Bedrock family, as well as LLMs (large language models) of the Titan series. For this, the SAP systems do not necessarily have to run in the AWS cloud, SAP’s Müller explained.

Manufacturing 124

Manufacturing Machine Learning Finance Optimization 124

datapine

JANUARY 14, 2020

The customer.” – Sam Walton, Walmart’s founder. Customer experience is slowly but surely exceeding both price and product as the world’s most critical brand differentiator, according to numerous articles over the Internet written by industry experts. Get our guide to learn about the power of customer service reporting!

Reporting 168

Reporting KPI Metrics Dashboards 168

datapine

NOVEMBER 6, 2023

That is why we are putting together a series of blog posts that do a deep dive into different types of graphs and charts to help understand what each of them can do for your analytical efforts. Plot multiple data series: Line charts can also be used to plot multiple data sets that are represented by multiple individual lines.

Visualization 186

Visualization Cost-Benefit Sales KPI 186

CIO Business Intelligence

SEPTEMBER 3, 2024

At the Huawei Cloud Summit Saudi Arabia 2024, held today, Huawei Cloud made a significant announcement, unveiling a series of innovative artificial intelligence (AI) initiatives to accelerate Saudi Arabia’s digital transformation.

Digital Transformation 111

Digital Transformation Recreation/Entertainment Finance Data-driven 111

CIO Business Intelligence

APRIL 10, 2024

Seekr’s main business is building and training AIs that are transparent to enterprise and other users. But with a growing number of customers and the increasing size of AI models, Clark and company recognized the need to shift to a cloud provider that could scale to its needs. “We

IT 119

IT Testing Optimization Modeling 119

AWS Big Data

MAY 28, 2024

In this series, we streamline the process of identifying and applying the most suitable architecture for your business requirements, and help kickstart your system development efficiently with examples. Part 1 also contains architectural examples for building real-time applications for time series data and event-sourcing microservices.

IoT 115

IoT Analytics Dashboards Data-driven 115

Smart Data Collective

MARCH 23, 2022

Cybercriminals use tricky and sophisticated methods to replicate and forge e-signatures to use them to defraud customers, businesses, and even government agencies. As mentioned, neural network training, certifying signatures, and adopting blockchain and IoT technology can help recognize anomalies applicable in bulk e-signing.

IoT 134

IoT Internet of Things Digital Transformation Manufacturing 134

CIO Business Intelligence

MAY 21, 2024

MakeShift joins companies such as Medico, HSBC, Spirit Halloween, Taager.com, Future Metals, and WIO in deploying Ikigai Labs’ no-code models for tabular and time-series data. One of our retail customers is starting to talk about pulling in weather data. Smaller models are a subset and tend to focus on one thing.”

IT 131

IT Cost-Benefit Experimentation Forecasting 131