IBM Big Data Hub

JULY 17, 2023

While traditional AI approaches provide customers with quick service, they have their limitations. 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.

Consulting 58

Consulting Machine Learning Deep Learning Cost-Benefit 58

DataRobot

JUNE 1, 2021

In an earlier post, I shared the four foundations of trusted performance in AI : data quality, accuracy, robustness and stability, and speed. Today I want to talk about another important aspect of trusted AI: the software and human management that facilitate the use of AI. Knowing When to Trust a Model.

Uncertainty 52

Uncertainty Machine Learning Advertising Risk 52

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. We live in a hybrid data world. Big data is cool again.

IT 106

IT Data Architecture Unstructured Data Big Data 106

CIO Business Intelligence

JUNE 23, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. We live in a hybrid data world. Big data is cool again.

IT 97

IT Data Architecture Unstructured Data Big Data 97

IBM Big Data Hub

JUNE 23, 2023

Although interest rates have increased at an unprecedented rate over the past year due to efforts by central banks to curb inflation, insurers are locked into low-yielding investments, and it will take several years for their investment yields to improve. Core modernization (processes and technology) is a top priority for every insurer.

Insurance 61

Insurance Cost-Benefit Digital Transformation Marketing 61

Cloudera

AUGUST 25, 2021

When sharing data, organizations have to wrestle with questions such as, “How will data be used once fed into artificial intelligence (AI) and machine learning (ML) engines?” This creates challenges for organizations to work toward a common goal, Dvir said. The first vaccine became available in December 2020.

Data-driven 86

Data-driven Machine Learning Data Collection Risk 86

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. Several factors are driving the adoption of knowledge graphs.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Domino Data Lab

JULY 28, 2021

It is highly valued by organizations as they strive to remain competitive, increase revenues and delight customers because data scientists are able to coax insight on how to improve decision making by the business out of the vast stores of data created by the business. What is Data Science and How is it Used?

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

datapine

NOVEMBER 19, 2019

Get the inside scoop and learn all the new buzzwords in tech for 2020! The modern world is changing more and more quickly with each passing year. If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. The solution? Computer Vision.

Technology 279

Technology Internet of Things IT IoT 279

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks.

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

DataRobot Blog

JULY 21, 2022

Download the Machine Learning Project Checklist. Planning Machine Learning Projects. Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

IBM Big Data Hub

APRIL 18, 2023

Across industries, the exponential growth of technologies such as hybrid cloud, data and analytics, AI and IoT have reshaped the way businesses operate and heightened customer expectations. Businesses are now entering an even greater digital era marked by broader applications of AI, including generative AI models.

Technology 75

Technology Consulting IoT Digital Transformation 75

DataRobot

NOVEMBER 15, 2021

Today, we announced DataRobot AI Cloud for Industries , a comprehensive solution that unites AI capabilities and best practices, integrations, and expanded partnerships for major industries. Industry Unleashed: An Exclusive Insights Webinar Series by DataRobot and Snowflake.

Manufacturing 52

Manufacturing Forecasting Machine Learning Data-driven 52

DataRobot Blog

DECEMBER 20, 2022

The use of artificial intelligence (AI) in the investment sector is proving to be a significant disruptor, catalyzing the connection between the different players and delivering a more vivid picture of the future risk and opportunities across all different market segments. Real estate investments are not an exception.

Management 59

Management Machine Learning Optimization Modeling 59

IBM Big Data Hub

SEPTEMBER 11, 2023

Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” Boyce to create Structured Query Language (SQL). Boyce to create Structured Query Language (SQL). Over the past 40 years, Db2 has been on an exciting and transformational journey. In 1969, retired IBM Fellow Edgar F.

Machine Learning 91

Machine Learning Cost-Benefit IoT Data Warehouse 91

IBM Big Data Hub

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. In this blog, I will cover: What is watsonx.ai? What capabilities are included in watsonx.ai? What is watsonx.data? IBM watsonx.ai

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

Alation

MAY 24, 2022

If the data is of poor quality, so too will be the analyses or insights gleaned from it. Data governance helps guide data users to correctly use high-quality data that can deliver value to their organization. Some vendors leverage machine learning to build rules where others rely on manually declared rules.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

IBM Big Data Hub

JANUARY 17, 2024

More advanced chatbots use machine learning , artificial intelligence (AI) and generative AI technology to generate real-time responses based on user input. Chatbots have been around for a long time; the first program that could be defined as a chatbot was created in 1966 with Joseph Weizenbaum’s Eliza.

Interactive 67

Interactive Sales Machine Learning Marketing 67

Smart Data Collective

DECEMBER 13, 2019

In 2016, Forbes published an insightful post on the importance of big data in the legal profession. Customer portals are a good example of this and have created an effective way of enhancing customer relationships by providing a secure area where customers can quickly access projects, calendars, and other documentation.

Big Data 53

Big Data Software Cost-Benefit Machine Learning 53

Alation

FEBRUARY 10, 2022

Manual data classification is when data owners or users determine and create the data classification policies. Manual data classification is when data owners or users determine and create the data classification policies. Hybrid automation entails a person creating a rule to classify data. Manual Data Classification.

Data Governance 52

Data Governance Risk Insurance Strategy 52

DataRobot Blog

OCTOBER 3, 2017

With this integration, customers can now harness the full power of Azure’s Big Data offerings in a self-service manner to gain immediate value.”. With this integration, customers can now harness the full power of Azure’s Big Data offerings in a self-service manner to gain immediate value.”.

Data Lake 52

Data Lake Data Architecture Advertising Insurance 52