Cloudera

OCTOBER 18, 2023

Financial services institutions are constantly challenged to strike the delicate balance between innovation and cost-saving as they seek out opportunities to decrease expenses while funding new application development projects.

Cost-Benefit 82

Cost-Benefit Testing Machine Learning Optimization 82

DataRobot Blog

MARCH 16, 2023

Over the last 12 years, I’ve been fortunate to explore what’s possible with AI through innovation, starting with graduate school at Cornell University, to building a company based on Eureqa algorithms, and leading a team of innovators at DataRobot. It is a time-intensive process that can slow the adoption of AI across an organization.

Data Science 98

Data Science Technology Data-driven Modeling 98

Domino Data Lab

MARCH 11, 2021

Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Using these tools, businesses can scale their machine learning efforts while maintaining an efficient ML lifecycle. How to choose the right ML Framework.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

CIO Business Intelligence

JULY 14, 2023

Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. Since the release of ChatGPT last November, interest in generative AI has skyrocketed. Every company will be doing that,” he adds. “In

Modeling 91

Modeling Machine Learning Cost-Benefit B2B 91

DataRobot

JULY 27, 2021

It’s no wonder, then, that it can take an average of 17 months for a typical firm to break even on its returns from AI projects. It’s no wonder, then, that it can take an average of 17 months for a typical firm to break even on its returns from AI projects. DataRobot MLOps Augmented with Algorithmia’s GPU Acceleration.

Optimization 98

Optimization Modeling Machine Learning Deep Learning 98

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. In our current landscape, businesses that have adopted a successful ML strategy are outperforming their competitors by over 9%. The implications of ML on the future of business are clear.

Deep Learning 85

Deep Learning Machine Learning Forecasting Visualization 85

CIO Business Intelligence

MARCH 14, 2022

It is also the foundation of predictive analysis, artificial intelligence (AI), and machine learning (ML). Several factors make such scaling difficult: Massive Data Growth: Global data creation is projected to exceed 180 zettabytes by 2025. Real-time Data Scaling Challenges. zettabyes in 2020 to 51 zettabytes in 2025.

Data Processing 112

Data Processing Optimization Deep Learning Software 112

IBM Big Data Hub

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. Imagine a self-driving car piloted by an AGI.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

Smart Data Collective

MAY 18, 2022

Data analytics is an invaluable part of the modern product development process. They do this to speed up software development and get to market faster. Companies are using big data for a variety of purposes. One of the most essential benefits is with the QA process. All-in-One Big Data Platforms Are Key to Successful QA Systems.

Testing 106

Testing Data Analytics Analytics Big Data 106

AWS Big Data

MAY 4, 2023

One such framework is Dask , which is powerful for its ability to provision an orchestration of worker compute nodes, thereby accelerating complex analysis on large datasets. Welcome to the era of data. The sheer volume of data captured daily continues to grow, calling for platforms and solutions to evolve.

Data Processing 95

Data Processing Metadata Informatics Interactive 95

CDW Research Hub

NOVEMBER 12, 2020

Artificial intelligence (AI) applications are becoming pervasive across all industries, and at companies of all sizes. In fact, most companies have a long line of AI use cases identified, in development, or already in productive use. Often, hybrid cloud solutions are the foundation of AI deployments.

ROI 79

ROI Deep Learning Machine Learning Business Objectives 79

DataRobot Blog

JULY 27, 2022

Investing in AI/ML is no longer an option but is critical for organizations to remain competitive. DataRobot AI Cloud platform has an absolutely fantastic training pipeline with AutoML and also has a rock-solid inference system. Many engineering teams don’t pay the necessary attention to it. But have no fear!

Metrics 52

Metrics Deep Learning Modeling Machine Learning 52

Ontotext

MARCH 8, 2023

We get this question regularly. Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications. How do we get better with understanding our customers?

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

IBM Big Data Hub

DECEMBER 16, 2022

So, instead of wandering the aisles in hopes you’ll stumble across the book, you can walk straight to it and get the information you want much faster. It uses metadata and data management tools to organize all data assets within your organization. Imagine walking into the largest library you’ve ever seen.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Occam's Razor

MARCH 30, 2017

Primarily because we got our first real everyday access to products and services that used some form of AI to delight us. Here are the elements I’ll cover: + AI | Now | Local Maxima. + AI | Now | Global Maxima. AI | Now | Local Maxima. AI also seems so out there, so hard to grasp. No more theory, we felt it!

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

AWS Big Data

FEBRUARY 6, 2023

The self-serve HMDK TCO tool accelerates the design of new cost-effective Amazon EMR clusters by analyzing the existing Hadoop workload and calculating the total cost of the ownership (TCO) running on the future Amazon EMR system. This could delay the project from being accepted without a good TCO report.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

DataRobot Blog

MARCH 10, 2022

By utilizing artificial intelligence, organizations can dissolve production bottlenecks, track and minimize/maximize critical KPIs like scrap rate and production rates, and get ahead of the power curve to accelerate their distribution and delivery channels. Factory Monitoring?—?

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. Now that you have empowered data scientists and analysts to access the Snowflake Data Cloud and speed their modeling and analysis, you need to bolster the effectiveness of your governance models.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Consider: what impact does ML have on DG and vice versa? Introduction.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Sisense

APRIL 26, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. Datasets are exploding at an ever-accelerating rate, so collecting and analyzing data to maximum effect is crucial. Understanding data structure is a key to unlocking its value.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CIO Business Intelligence

SEPTEMBER 26, 2023

No matter what your newsfeed may be, it’s likely peppered with articles about the wonders of artificial intelligence. The pairing of AI/ML with IT telemetry and other monitoring and management functions, known as AIOps, has a projected market size of about $2.1 And rightly so. That just about covers all the bases.

IT 134

IT Key Performance Indicator Software Metadata 134

DataRobot Blog

MARCH 16, 2023

One of the most common challenges today in the adoption of AI is that far too many projects do not complete and fail to deliver clear business outcomes. In speaking with hundreds of our customers over the past year, and analyzing projects further, we quickly realized that a new approach to AI was needed.

Experimentation 98

Experimentation Data-driven Modeling Metadata 98

DataKitchen

APRIL 13, 2021

Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity. However, the rush to rebrand existing products with a DataOps message has created some marketplace confusion. Meta-Orchestration.

Testing 300

Testing Machine Learning Consulting Data Quality 300

DataRobot

SEPTEMBER 14, 2021

As we see from countless examples, the demand for AI is at a fever pitch across every industry. Becoming AI-driven is no longer really optional. As AI continues to advance at such an aggressive pace, solutions built on machine learning are quickly becoming the new norm. Challenge to keep production models fair and ethical.

Machine Learning 94

Machine Learning Modeling Experimentation Visualization 94

IBM Big Data Hub

JUNE 3, 2024

Caches store data in areas of memory built into a CPU’s processor chip to reach data retrieval speeds even faster than random access memory (RAM) can achieve. Traditionally, one way to increase processing speed has been to set the clock to run faster than normal. Core: Cores act as the processor within the processor.

Manufacturing 87

Manufacturing Marketing Software Machine Learning 87

AWS Big Data

MAY 7, 2024

Amazon DataZone is a fully managed data management service that makes it faster and easier for customers to catalog, discover, share, and govern data stored across Amazon Web Services (AWS), on premises, and on third-party sources. They also enrich their assets with business context to make them accessible to the consumers.

Metadata 76

Metadata Data Lake Data Processing Data-driven 76

bridgei2i

JANUARY 25, 2022

PODCAST: Making AI Real. How MLOps is Shaping AI in the Real World. How MLOps is Shaping AI in the Real World. Right from helping scale models from sandbox to production, enabling better collaboration between teams, and forming the foundation for solving business challenges, MLOps is being used extensively at BRIDGEi2i.

Machine Learning 52

Machine Learning Modeling Data Processing Enterprise 52

DataRobot Blog

MARCH 23, 2023

AI adoption remains top-of-mind for organizations. Although companies are keen to gain competitive advantage by leveraging AI to more rapidly bring innovations to market, they are often unable to see end results as quickly as they’d like. Understand how your organization works with ML – and where it should head.

Machine Learning 52

Machine Learning Cost-Benefit Modeling Testing 52

Sisense

AUGUST 21, 2020

AI and machine learning are the future of every industry, especially data and analytics. In Growing Up with AI , we help you keep up with all the ways these pioneering technologies are changing the world. We hear a lot about AI and analytics not only in internal conversations, but also from our customers and prospects.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 105

Data Lake Unstructured Data Data Warehouse Data Quality 105

AWS Big Data

JUNE 30, 2023

We have built two software products to help our customers drive digital marketing success and growth: Arena is an easy-to-use, intuitive platform that provides clients with a single interface to engage with Position 2. Its machine learning (ML) engine provides automated insights to improve campaign performance and ROI.

Marketing 52

Marketing Dashboards Advertising ROI 52

CIO Business Intelligence

APRIL 4, 2023

Manager, Product Marketing, Aruba Central. In fact, IDC projects that half of all new implementations will rely on cloud-based network management. By: Shruthi Kalale Prakashan, Sr. For many organizations large and small, the COVID-19 pandemic was the tipping point for cloud adoption. without a modern network to support it.

Marketing 79

Marketing Management Cost-Benefit IoT 79

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. Today, modern travel and tourism thrive on data. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

CIO Business Intelligence

OCTOBER 11, 2022

To accelerate growth through innovation, the company is expanding its use of data science and artificial intelligence (AI) across the business to improve patient outcomes. . Moving from ideas to insights faster. Gurinder Kaur, Vice President of Operations IT, AstraZeneca AstraZeneca.

Machine Learning 145

Machine Learning Data-driven Testing Data Science 145

CIO Business Intelligence

JANUARY 20, 2023

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Yet many are struggling to move into production because they don’t have the right foundational technologies to support AI and advanced analytics workloads. Some are relying on outmoded legacy hardware systems.

Analytics 131

Analytics Key Performance Indicator Unstructured Data IoT 131

Alation

FEBRUARY 10, 2022

As your organization collects and uses more data, manual data classification becomes overwhelming for data owners. This is why many organizations leverage automated data classification, which augments labeling projects with help from Artificial Intelligence and Machine Learning (AI & ML).

Data Governance 52

Data Governance Risk Insurance Metadata 52

DataRobot

DECEMBER 16, 2021

Today, we’re excited to deliver two final key milestones for the year, extending the power of AI Cloud for a core community and delivering game-changing new features and capabilities in our latest 7.3 The vision of democratizing AI for all users is central to our DNA at DataRobot. And we’re not slowing down. platform release.

Forecasting 98

Forecasting Modeling Data-driven Data Science 98