IBM Big Data Hub

MARCH 14, 2024

From there, the floodgates opened, and today as much as 62% of smartphones are built with 5G connectivity (link resides outside ibm.com.) But what does the future hold in store? AI and ML) require too much data to run at speeds offered by previous generations of wireless networks. What is 5G? Today, some technologies (e.g.,

Technology 61

Technology IoT Cost-Benefit Internet of Things 61

Ontotext

DECEMBER 1, 2023

Bikes to the moon The event opened with Atanas Kiryakov who invited us to consider that getting to the moon on a bike is impossible unless you have a really well-tuned bike. “Complexity is empowering”, argues Howard G. Cunningham. The question is not how to avoid complexity but how to embrace it and take advantage of it.”

Metadata 78

Metadata Sales Consulting Enterprise 78

Cloudera

JUNE 7, 2022

Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. For Cloudera this is a back to the future moment. We are a Gartner Peer Insights Customer Choice for Cloud DBMS products. We live in a hybrid data world. If you haven’t looked at Cloudera in a while, it’s time you do

IT 106

IT Data Architecture Unstructured Data Big Data 106

IBM Big Data Hub

JULY 5, 2022

The fact is that databases are truly the engine driving better outcomes for businesses — they’re running your cloud-native apps, generating returns on your investments in AI, and the backbone supporting your data fabric strategy. This is the story of Db2. . They were expensive.

Data Lake 96

Data Lake Data Warehouse Publishing Structured Data 96

CIO Business Intelligence

JUNE 23, 2022

Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. For Cloudera this is a back to the future moment. We are a Gartner Peer Insights Customer Choice for Cloud DBMS products. We live in a hybrid data world. If you haven’t looked at Cloudera in a while, it’s time you do .

IT 97

IT Data Architecture Unstructured Data Big Data 97

Cloudera

MAY 12, 2021

And it is with this in mind, that we’re delighted to announce that the 2021 Cloudera Data Impact Awards is now open for entries. This category is open to organizations that have tackled transformative business use cases by connecting multiple parts of the data lifecycle to enrich, report, serve, and predict. . DATA FOR ENTERPRISE AI.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

BizAcuity

APRIL 1, 2023

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

BizAcuity

JANUARY 18, 2023

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. How Machine Learning Helps Detect and Prevent AML. Exploratory Data Analysis (EDA).

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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

Jedox

JULY 23, 2019

One of the biggest challenges of automation (Robotic Process Automation) and artificial intelligence/machine learning technologies is our current mindset. One of the biggest challenges of automation (Robotic Process Automation) and artificial intelligence/machine learning technologies is our current mindset. Crystal ball.

Technology 52

Technology Forecasting Finance Data-driven 52

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

O'Reilly on Data

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. What cultural and organizational changes will be needed to accommodate the rise of machine and learning and AI?

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

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

FEBRUARY 19, 2021

Banks regularly create campaigns to offer new products to their customers. In today’s marketplace, banks provide a variety of deposit, lending, and investment products to individuals and businesses, but a good proportion of current customers might only use one or two of them.

Machine Learning 98

Machine Learning Marketing Modeling Risk 98

Smart Data Collective

AUGUST 29, 2022

It can be even more valuable when used in conjunction with machine learning. Machine Learning Helps Companies Get More Value Out of Analytics. You will get even more value out of analytics if you leverage machine learning at the same time. This is why businesses are looking to leverage machine learning (ML).

Analytics 113

Analytics Predictive Analytics Machine Learning Insurance 113

O'Reilly on Data

OCTOBER 11, 2022

There seems to be broad agreement that hyperautomation is the combination of Robotic Process Automation with AI. Natural language generation and natural language understanding are frequently mentioned, too, but they’re subsumed under AI. Using AI to discover tasks that can be automated also comes up frequently. Should it be?

Data Integration 292

Data Integration Insurance Dashboards Modeling 292

CIO Business Intelligence

JUNE 22, 2022

Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest. One of the ways to accelerate time to insight is by performing analytics on real-time data. This is the focus of “data in motion”.

IoT 98

IoT IT Manufacturing Internet of Things 98

Cloudera

NOVEMBER 18, 2021

This allows for an omni-channel view of the customer and enables real-time data streaming and a safe zone to test machine learning models using Cloudera Data Science Workbench (CDSW). For the second year running, we announced the winners to a global audience via a virtual ceremony. Data Lifecycle Connection.

Data Lake 73

Data Lake Cost-Benefit Digital Transformation Risk 73

Cloudera

APRIL 27, 2022

Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest. One of the ways to accelerate time to insight is by performing analytics on real-time data. This is the focus of “data in motion”.

IoT 93

IoT IT Manufacturing Internet of Things 93

IBM Big Data Hub

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

IBM Big Data Hub

SEPTEMBER 11, 2023

Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” On June 7, 1983, a product was born that would revolutionize how organizations would store, manage, process , and query their data: IBM Db2. Over the past 40 years, Db2 has been on an exciting and transformational journey.

Machine Learning 91

Machine Learning Cost-Benefit IoT Data Warehouse 91

CIO Business Intelligence

AUGUST 18, 2022

The result is an emerging paradigm shift in how enterprises surface insights, one that sees them leaning on a new category of technology architected to help organizations maximize the value of their data. Many organizations, however, are finding this paradigm of relying on two separate systems of insight untenable.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

CIO Business Intelligence

FEBRUARY 3, 2023

Enter robotic process automation (RPA) : a smart set of tools that deploys AI and low-code options to simplify workflows and save everyone time while also adding safeguards that can prevent costly mistakes. RPA benefits RPA is also a relatively simple way to integrate AI algorithms into old applications. What is RPA?

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

bridgei2i

MARCH 3, 2021

PODCAST: Making AI Real. Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities. Unlocking the Value of Enterprise AI with Data Engineering Capabilities. While some companies prefer plug and play solutions, others prefer to customize their platforms by integrating with open-source tech stacks.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98