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

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

FEBRUARY 11, 2022

However, to understand what Ethical AI is, we need to have at least a basic understanding of ML, ML models and the data science lifecycle and how they are related. This blog post hopes to provide this foundational understanding. What is Machine Learning. Instead, they are learned by training a model on data.

Machine Learning 97

Machine Learning Sales Data Science Deep Learning 97

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Domino Data Lab

JULY 15, 2021

In the multiverse of data science, the tool options continue to expand and evolve. While there are certainly engineers and scientists who may be entrenched in one camp or another (the R camp vs. Python, for example, or SAS vs. MATLAB), there has been a growing trend towards dispersion of data science tools. Snowflake ).

Data Science 145

Data Science Visualization Enterprise Modeling 145

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 117

Data Science Enterprise Experimentation Machine Learning 117

DataKitchen

MAY 10, 2021

Data errors impact decision-making. Data errors infringe on work-life balance. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

Testing 214

Testing Manufacturing Data Quality Statistics 214

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 111

Enterprise Finance Consulting Management 111

DataKitchen

NOVEMBER 18, 2021

For several years now, the elephant in the room has been that data and analytics projects are failing. Gartner estimated that 85% of big data projects fail. Add all these facts together, and it paints a picture that something is amiss in the data world. . Data engineers end up fixing the same problem over and over.

Testing 246

Testing Data Governance Measurement Software 246

IBM Big Data Hub

DECEMBER 16, 2022

It’s a fitting way to end what has been another big year for the industry. It can help us leverage significant amounts of data to start designing and discovering new solutions to business and societal problems such as those related to sustainability, life sciences, customer care, employee experience and many more.

Uncertainty 112

Uncertainty Metadata Modeling Data Collection 112

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

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 Predictive Analytics Recreation/Entertainment 110

Cloudera

AUGUST 17, 2022

?. What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team? CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in.

Analytics 116

Analytics Data-driven Machine Learning Data Science 116

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 98

B2B Enterprise Data-driven Data Science 98

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 Data Processing 98

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 121

Enterprise Experimentation Uncertainty Deep Learning 121

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 82

Machine Learning Data Science Visualization Optimization 82

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 97

Metadata Risk Management Risk Experimentation 97

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 93

Enterprise Machine Learning Deep Learning Data Science 93

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 81

Data Lake Digital Transformation Manufacturing Sales 81

Occam's Razor

MARCH 30, 2017

What the heck is Artificial Intelligence? . What the heck is Artificial Intelligence? It is actually smarter than what you see above. On your phone, try to search for people in your lives by name, by faces, combine their name with events/things/locations and you’ll be surprised at what the AI returns. Google Photos.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Domino Data Lab

JANUARY 21, 2021

Producing insights from raw data is a time-consuming process. The Importance of Exploratory Analytics in the Data Science Lifecycle. Exploratory analysis is a critical component of the data science lifecycle. Exploratory analysis is a critical component of the data science lifecycle.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

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

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 88

Data Lake Internet of Things IoT Data-driven 88

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

NOVEMBER 18, 2020

What a fantastic 24-hours it has been here at Cloudera. During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. We are delighted to officially publish this year’s Data Impact Award winners. Data Impact Achievement Award.

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

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 112

IT Data Architecture Unstructured Data Big Data 112

Cloudera

NOVEMBER 3, 2021

Have you ever asked a data scientist if they wanted their code to run faster? According to a poll in Kaggle’s State of Machine Learning and Data Science 2020 , A Convolutional Neural Network was the most popular deep learning algorithm used amongst polled individuals, but it was not even in the top 3. In fact only 43.2%

Deep Learning 117

Deep Learning Machine Learning Data Science Cost-Benefit 117

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

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage.

Strategy 103

Strategy Data-driven Cost-Benefit Measurement 103

Cloudera

NOVEMBER 29, 2021

Data transforms businesses. That’s where the data lifecycle comes into play. Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . The company needed a modern data architecture to manage the growing traffic effectively. .

Data Lake 77

Data Lake Data Warehouse Data Architecture Reporting 77

Cloudera

MARCH 26, 2024

What about security, privacy, and trust concerns? Cloudera: Your Trusted Partner in AI With over 25 Exabytes of Data Under Management and hundreds of customers leveraging our platform for Machine Learning, Cloudera has a long and successful history as an industry leader. Companies must act now in order to stay in the AI Race.

Cost-Benefit 84

Cost-Benefit Machine Learning Enterprise Data Processing 84

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 119

Strategy Data Science Unstructured Data Marketing 119

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 9, 2023

Unlike traditional ML, where each new use case requires a new model to be designed and built using specific data, foundation models are trained on large amounts of unlabeled data, which can then be adapted to new scenarios and business applications. Today is a revolutionary moment for Artificial Intelligence (AI). But why now?

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

IBM Big Data Hub

MAY 9, 2023

Today, AI presents an enormous opportunity to turn data into insights and actions, to help amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. So what is stopping AI adoption today? While the promise of AI isn’t guaranteed and may not come easy, adoption is no longer a choice.

Metadata 71

Metadata Risk Experimentation Dashboards 71