IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. (

Metadata 102

Metadata Risk Risk Management Experimentation 102

Cloudera

APRIL 4, 2022

Vaccine development became the top priority for the life sciences industry – delivering new vaccines at unprecedented speed and maneuvering large-scale production processes. The Impact of Data and Analytics. Maintain Momentum. Now is the time to reflect and learn from the events of the past two years.

Data Lake 77

Data Lake Digital Transformation Manufacturing Sales 77

DataKitchen

FEBRUARY 1, 2021

DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. These benefits are hugely important for data professionals, but if you made a pitch like this to a typical executive, you probably wouldn’t generate much enthusiasm.

Business Objectives 245

Business Objectives Cost-Benefit Measurement Metrics 245

Domino Data Lab

AUGUST 6, 2021

What Is Model Governance? This includes: Model lineage, from data acquisition to model building Model versions in production, as they are updated based on new data Model health in production with model monitoring principles Model usage and basic functionality in production Model costs. First is the data the model is using.

Machine Learning 145

Machine Learning Modeling Testing Risk 145

Cloudera

OCTOBER 18, 2021

We are thrilled to announce the finalists of the 2021 Data Impact Awards. This year’s entrants have excelled at demonstrating how innovative data solutions can help solve real-time challenges and positively impact people around the world. . Data for Enterprise AI . Read more about the Data for Enterprise AI category here .

Enterprise 105

Enterprise Consulting Finance Management 105

DataKitchen

JANUARY 5, 2021

Remote working has revealed the inconsistency and fragility of workflow processes in many data organizations. The data teams share a common objective; to create analytics for the (internal or external) customer. Data Science Workflow – Kubeflow, Python, R. Data Engineering Workflow – Airflow, ETL.

Testing 147

Testing Data Governance Metadata Visualization 147

Cloudera

JULY 27, 2021

We believe the best way to learn what a technology is capable of is to build things with it. Understanding the technologies underlying these examples – both what they can do, and how they work – relied heavily on exploration and visualization. This is fortunate, because few data scientists are web developers on the side.

Data Science 111

Data Science Enterprise Experimentation Machine Learning 111

DataRobot

NOVEMBER 16, 2021

As we’ve discussed in this blog series, some are already reaping the rewards of AI through increased productivity, cost savings, etc. What is MLOps? Many organizations, including state and local governments, are dipping their toes into machine learning (ML) and artificial intelligence (AI). Issues with Deployment.

Cost-Benefit 98

Cost-Benefit Machine Learning Modeling Risk 98

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. When many businesses start their journey into ML and AI, it’s common to place a lot of energy and focus on the coding and data science algorithms themselves.

Machine Learning 79

Machine Learning Visualization Data Science Optimization 79

Domino Data Lab

JULY 19, 2021

One of the primary challenges of any ML/AI project is transitioning it from the hands of data scientists in the develop phase of the data science lifecycle into the hands of engineers in the deploy phase. Where in the life cycle does data scientists’ involvement end? Data engineers assist by providing clean data.

Enterprise 85

Enterprise Data Science Testing Modeling 85

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Data Science — A Venn Diagram of Skills. Data science encapsulates both old and new, traditional and cutting-edge. 3 Components of Data Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. That way, the data can continue generating actionable insights. . Rethinking the Data Lifecycle. technologies.

Data Lake 87

Data Lake IoT Internet of Things Data-driven 87

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Cloudera

SEPTEMBER 17, 2020

Announcing the finalists of the Data Impact Awards is always a highlight in our annual Cloudera calendar, and this year is no different. The 2020 entrants have shown incredible data-driven innovation, problem-solving ability and have proven real-world impact. . Data Champions . Data for Enterprise AI. Data for Good.

B2B 92

B2B Enterprise Data-driven Data Science 92

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Artificial intelligence (AI) adoption is still in its early stages.

Risk 77

Risk Modeling Management Metadata 77

IBM Big Data Hub

JANUARY 11, 2024

Scarier still, the next generation of talent will be hard to recruit, as newer computer science graduates who learned Java and newer languages won’t naturally picture themselves doing mainframe application development. Figuring out what different teams have done with COBOL over the years is what makes it so hard to manage change.

Digital Transformation 109

Digital Transformation Modeling Deep Learning Visualization 109

Cloudera

OCTOBER 4, 2023

Fast moving data and real time analysis present us with some amazing opportunities. Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. Don’t blink — or you’ll miss it!

Data Warehouse 83

Data Warehouse Experimentation Cost-Benefit Dashboards 83

DataKitchen

JANUARY 3, 2022

Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. The data analytics function in large enterprises is generally distributed across departments and roles. The data analytics function in large enterprises is generally distributed across departments and roles.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

DataRobot Blog

NOVEMBER 1, 2022

I love the combination of data science and sports and have been lucky to work on multiple data science projects for DataRobot, including March Mania , McLaren F1 Racing , and advised actual customers in the sports industry. This time, I am excited to apply data science to the football field.

Unstructured Data 119

Unstructured Data Data Science Modeling Machine Learning 119

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business.

Enterprise 87

Enterprise Machine Learning Deep Learning Software 87

Cloudera

JUNE 7, 2022

We live in a hybrid data world. 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.

IT 106

IT Data Architecture Unstructured Data Big Data 106

Domino Data Lab

AUGUST 6, 2021

An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. What Is Model Risk? The complexity of models, and general limitations of expertise with data science among business leaders, creates an environment ripe for risk.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

DataRobot

JUNE 29, 2021

Machine learning models trained on 2019 data didn’t know what to do. So, What Is Continuous AI? With Continuous AI, you can create multiple MLOps retraining strategies to refresh your production models based on the schedule of your choosing—like when accuracy drops below a predetermined threshold or data drift occurs.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI.

Insurance 74

Insurance Risk Testing Data Quality 74

IBM Big Data Hub

AUGUST 11, 2023

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data. What is MLOps?

Data Science 58

Data Science Machine Learning Cost-Benefit Deep Learning 58

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

Domino Data Lab

AUGUST 6, 2021

Data science is an incredibly complex field. Framing data science projects within the four steps of the data science lifecycle (DSLC) makes it much easier to manage limited resources and control timelines, while ensuring projects meet or exceed the business requirements they were designed for.

Data Science 75

Data Science Testing Modeling Publishing 75

IBM Big Data Hub

SEPTEMBER 27, 2022

To scale use of AI in a responsible manner requires AI governance, the process of defining policies and establishing accountability throughout the AI lifecycle. What’s more, suggests the study, those organizations who implement a broad AI ethics strategy, interwoven throughout business units, may have a competitive advantage moving forward.

Consulting 52

Consulting Machine Learning Modeling Strategy 52

Cloudera

AUGUST 20, 2020

2020 may well go down as the year where what seems impossible today, did become possible tomorrow. Businesses had to literally switch operations, and enable better collaboration and access to data in an instant — while streamlining processes to accommodate a whole new way of doing things. But UOB didn’t stop there.

Enterprise 120

Enterprise Experimentation Uncertainty Deep Learning 120

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full?

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Cloudera

FEBRUARY 16, 2022

What if the spacing between blueberries in a muffin is reduced? What if a muffin is well-baked? What if it is an irregular shape? We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

DataRobot

JUNE 16, 2021

In several earlier blog posts, we have focused on what we at DataRobot call the AI production gap , which refers to the gap that makes it difficult to transition models from the data science teams who develop them to the IT and DevOps teams who are responsible for deploying and monitoring them in production.

Management 52

Management Modeling Statistics Data Science 52

Cloudera

MARCH 28, 2023

Today’s healthcare is driven as much by the promise of emerging technologies centered on data processing and advanced analytics as by developing new and specialized drugs. What is Precision Healthcare? The foundation of precision healthcare is the use of data from a variety of sources.

Machine Learning 65

Machine Learning Data-driven Risk Strategy 65

Domino Data Lab

JULY 28, 2021

Data science is a field at the convergence of statistics, computer science and business. Its value is so significant that scaling data science has become the new business imperative with organizations spending tens of millions of dollars on data, technology and talent. What are Data Scientists?

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

DataRobot Blog

FEBRUARY 28, 2022

DataRobot is home to a treasure trove of Data Scientists. We’ve started a series called “Data Scientist Spotlight” as a way to meet the people behind the technology and introduce you to our great team. Why do you think data science is such an in-demand job right now? Introducing Alex Tsourmas.

Data Science 52

Data Science Experimentation Consulting Marketing 52

IBM Big Data Hub

OCTOBER 16, 2023

Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects. What is bias in artificial intelligence? It also reduces AI’s potential.

Advertising 76

Advertising Machine Learning Data Architecture Cost-Benefit 76

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Figure 1 shows the four phases of Lean DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246