datapine

MAY 14, 2019

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. At present, around 2.7

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Not finding what you’re looking for?

Data Science 127

Data Science Machine Learning Predictive Modeling Experimentation 127

CIO Business Intelligence

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Jen Stirrup

MAY 5, 2020

It is more than just some giant USB stick in the sky that’s going to store all of the data. It has a lot of services that you can use, such as Big Data analytics. In this topic, we’re going to focus specifically on Big Data technologies, such as your HDInsight, Apache Spark and Databricks.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It culminates with a capstone project that requires creating a machine learning model.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

CIO Business Intelligence

JUNE 21, 2022

Real-time big data analytics, deep learning, and modeling and simulation are newer uses of HPC that governments are embracing for a variety of applications. Big data analytics is being used to uncover crimes. Intel® Technologies Move Analytics Forward. Just starting out with analytics?

Deep Learning 111

Deep Learning Big Data ROI Software 111

Data Science 101

DECEMBER 11, 2019

Topics of interest include artificial intelligence, big data, data analytics, data science, data mining, deep learning, knowledge graphs, machine learning, relational databases and statistical methods. 22-27, 2020.

KDD 81

KDD Knowledge Discovery Data mining Statistics 81

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 122

Predictive Analytics Analytics Predictive Modeling Data mining 122

CIO Business Intelligence

JUNE 1, 2022

These supercomputers power exciting innovations in deep learning, disease control, and physics—think bionic eyes, DNA sequencing for infectious disease research, and the study of time crystals. . CSIRO’s Bracewell Delivers Deep Learning, Bionic Vision. Intel® Technologies Move Analytics Forward.

Deep Learning 105

Deep Learning Snapshot Optimization Data Quality 105

BizAcuity

APRIL 6, 2022

It also means heavy investments on data storage, management, security and speed at which data should be processed. A lot of investments go into data warehousing, big data management and data storage to ensure revenue is not lost due to any glitches or misconfiguration.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

Laminar Security

DECEMBER 13, 2023

Data discovery and classification play a pivotal role in decision-making processes within organizations. In the traditional approach, data discovery was a time-consuming and labor-intensive process. However, the advent of AI and machine learning (ML) has revolutionized this process.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

bridgei2i

NOVEMBER 18, 2020

Analytics Insight is a publication focused on Artificial Intelligence, Big Data and Analytics. For this study, the publication evaluated companies that cover areas of Data Science – Data Analytics, Big Data, Business Analytics, Machine Learning, Artificial Intelligence & Deep Learning.

Data Science 52

Data Science Contextual Data Deep Learning Big Data 52

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. Compared to previous CPU-based architectures, CDP 7.1

Enterprise 92

Enterprise Machine Learning Deep Learning Software 92

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. Where optimization and simulation are driven by models, Machine Learning is driven by data.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Domino Data Lab

JULY 28, 2021

After cleaning, the data is now ready for processing. At this stage, data scientists begin writing code for computation and model-building. Domino Data Lab’s Enterprise MLOps platform strives to accelerate research , centralize infrastructure, expedite model deployment and increase collaboration in code-first data science teams.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

Smart Data Collective

FEBRUARY 20, 2022

The analysis of tons of data for your SaaS business can be extremely time-consuming, and it could even be impossible if done manually. Rather, AWS offers a variety of data movement, data storage, data lakes, big data analytics, log analytics, streaming analytics, and machine learning (ML) services to suit any need.

Cost-Benefit 116

Cost-Benefit Data Lake Software Machine Learning 116

CDW Research Hub

MARCH 21, 2019

Our dedicated Big Data and Analytics practice brings together deep expertise with the power of NVIDIA’s high-speed GPU DGX-1 and the robust storage architecture of Dell EMC’s Isilon, resulting in a truly holistic, future-ready deep learning solution,” says Chris Mierzwa, Chief Technology Officer at Sirius (read more here ).

Deep Learning 40

Deep Learning Big Data Analytics Data Analytics 40

Rocket-Powered Data Science

APRIL 25, 2019

Learn the what, why, and how of Data Science and Machine Learning here. Follow Kirk Borne on Twitter @KirkDBorne.

Data Science 38

Data Science Machine Learning Deep Learning Statistics 38

TIBCO

MARCH 13, 2017

A certain breed of robotics has been a dominant force in this traction bringing machine learning to the masses in the form of chatbots and avatars that feature in our homes and customer service experience, as well as in banking and call centers. Crucially, algorithms can’t be relied upon to find a definitive answer.

Machine Learning 40

Machine Learning Snapshot Deep Learning Data-driven 40

Rocket-Powered Data Science

JULY 13, 2023

The business challenges then become manifold: talent and technologies now must be harnessed, choreographed, and synchronized to keep up with the data flows that carry and encode essential insights flowing through business processes at light speed. However, we are not into clear sailing just yet in the sea of data.

Analytics 166

Analytics Machine Learning Data Science Deep Learning 166

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. By using data analytics and ML, these systems will provide highly individualized experiences, tailoring responses based on a user’s past interactions, preferences and behavior patterns.

Enterprise 107

Enterprise Interactive Data-driven Key Performance Indicator 107

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

Testing 307

Testing Machine Learning Consulting Data Quality 307

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Uncertain economic conditions. Source: Gartner Research).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Cloudera

SEPTEMBER 11, 2020

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . What they have learned is that often their legacy Machine Learning models (e.g.

Manufacturing 92

Manufacturing Forecasting Digital Transformation Sales 92

AWS Big Data

MARCH 1, 2023

Transform CSV to Parquet Raw CSV files are converted to Parquet data format with AWS Glue. Parquet is a column-oriented format file format preferred in big data analytics that provides efficient compression and encoding. Taylor McNally is a Deep Learning Architect at Amazon Machine Learning Solutions Lab.

Data Lake 85

Data Lake Deep Learning Modeling Interactive 85

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 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

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 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

IBM Big Data Hub

MAY 9, 2023

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Watsonx.ai

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

Smart Data Collective

OCTOBER 14, 2019

Ludwig is a tool that allows people to build data-based deep learning models to make predictions. Ludwig is a TensorFlow-based toolbox that aims to allow people to use machine learning during their data work without having extensive prior knowledge. In short, it makes big data analysis more accessible.

Data Science 68

Data Science Machine Learning Big Data Interactive 68

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization strategy: Managing data as a product Every organization has the potential to monetize their data; for many organizations, it is an untapped resource for new capabilities. But few organizations have made the strategic shift to managing “data as a product.”

Strategy 115

Strategy Cost-Benefit Data-driven Measurement 115

AWS Big Data

MAY 16, 2024

H3-based analytics empower the processing and understanding of delivery data patterns, such as peak times, popular destinations, and high-demand areas. H3 can also help create location-based profiling features for predictive machine learning (ML) models such as risk-mitigation models.

Data Warehouse 57

Data Warehouse Visualization Cost-Benefit Optimization 57

Domino Data Lab

OCTOBER 9, 2019

Monica Youngman, director of data stewardship—check out her slides for the “Data Archiving at NOAA” keynote. Jonathan O’Neil, who’s led the spike on evaluating a large-scale migration to the cloud—check out his slides for the “The NOAA Big Data Project: By The Numbers” keynote. How cool is that?!

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. It’s More Important to Know What Your Data Means Than Where It Is.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is now able to automatically create and maintain materialized views and then transparently rewrite queries to use the materialized views using the machine-learned automated materialized view autonomics feature in Amazon Redshift. Aamer Shah is a Senior Engineer in the Amazon Redshift Service team.

Data Warehouse 98

Data Warehouse Cost-Benefit Dashboards Optimization 98

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20