Cloudera

APRIL 23, 2024

The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.

Machine Learning 85

Machine Learning Data Science Data Processing Data-driven 85

Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

CIO Business Intelligence

OCTOBER 30, 2023

CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. An estimated 90% of the global datasphere is comprised of unstructured data 1.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

CIO Business Intelligence

JANUARY 19, 2024

Data scientist is one of the hottest jobs in IT. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024.

Data Science 125

Data Science Machine Learning Predictive Modeling Experimentation 125

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Data scientists are in demand: the U.S. Explore these 10 popular blogs that help data scientists drive better data decisions.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

David Menninger's Analyst Perspectives

APRIL 14, 2021

Organizations are becoming more and more data-driven and are looking for ways to accelerate the usage of artificial intelligence and machine learning (AI/ML). Developing and deploying AI/ML models can be complicated in many ways, often involving different tools and services to manage these solutions from end to end.

Machine Learning 261

Machine Learning Data-driven Software Modeling 261

CIO Business Intelligence

APRIL 17, 2024

The best uses of generative AI are linguistic in nature,” says Richard Sonnenblick, the company’s chief data scientist. Richard Sonnenblick, Chief Data Scientist, Planview Planview “Achieving complete coverage of your code during testing is a massive challenge in itself,” says Sonnenblick. And software code is a language.”

Enterprise 126

Enterprise Testing Digital Transformation Software 126

CIO Business Intelligence

AUGUST 4, 2022

It’s no different when building a team for an enterprise AI project; you can’t just throw a bunch of data scientists into a room and expect them to come up with a revenue-generating or efficiency-improving project without support from other members of the enterprise. MLOps to the rescue.

Deep Learning 143

Deep Learning Data Science Enterprise Modeling 143

Smarten

NOVEMBER 2, 2023

Three Factors to Ensure Success of a Citizen Data Scientist Initiative! Gartner analysts predict that, ‘…citizen data scientists will surpass data scientists in the amount of advanced analysis produced.’

Predictive Analytics 67

Predictive Analytics Analytics Visualization Reporting 67

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

CIO Business Intelligence

APRIL 10, 2024

Inferencing crunches millions or even billions of data points, requiring a lot of computational horsepower. As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Inferencing and… Sherlock Holmes???

Cost-Benefit 135

Cost-Benefit Modeling Strategy Interactive 135

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. These data sets are often siloed, incomplete, and extremely sparse.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

Smarten

JANUARY 30, 2024

Self-Serve Data Preparation Transforms Business Users to Citizen Data Scientists! Data Scientists spend a lot of time gathering and preparing data for analysis, and that is time they could spend more productively performing tasks that add value and strategic direction. It’s simple.

Analytics 67

Analytics Data Quality Visualization Metadata 67

Smarten

JANUARY 9, 2024

The Truth About Citizen Data Scientists: Do They Add Value or Is the Concept Mere Buzz? If you read trade or industry journals or business publications, you have probably noticed that the subject of the Citizen Data Scientist is fraught with controversy.

Consulting 67

Consulting Business Intelligence Technology Analytics 67

Dataiku

MARCH 1, 2024

Data preparation is a crucial step in the data science lifecycle, as it involves tasks such as gathering, cleaning, aggregating, structuring, and exploring data. Despite advancements in tools and automation, it still consumes a significant portion of a data scientist's time.

Data Science 59

Data Science IT 59

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics. Data science jobs.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

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

Smart Data Collective

JUNE 10, 2022

Are you interested in a career in data science? The Bureau of Labor Statistics reports that there are over 105,000 data scientists in the United States. The average data scientist earns over $108,000 a year. Data Scientist. Data Engineer. This is the best time ever to pursue this career track.

Data Science 118

Data Science Machine Learning Statistics Business Intelligence 118

IBM Big Data Hub

APRIL 11, 2024

The ability to process encrypted data without decryption marks a pivotal advancement, promising to revolutionize diverse fields. IBM has been working to advance the domain of FHE for 15 years, since IBM Research scientist Craig Gentry introduced the first plausible fully homomorphic scheme in 2009.

Publishing 89

Publishing Machine Learning Technology Modeling 89

Smarten

OCTOBER 25, 2023

Analytics Insight reports that there are some important factors to consider when you look for a Business Intelligence or Augmented Analytics solution. Mobile BI is about making data accessible to more people and encouraging team members to use that data on a day-to-day basis.’ You see, Mobile BI is about more than just access.

Visualization 67

Visualization Predictive Modeling Machine Learning Business Intelligence 67

DataRobot Blog

MARCH 16, 2023

The integration of DataRobot and Azure OpenAI Service breaks down a barrier that has long existed between data teams and business stakeholders. Traditionally, developing appropriate data science code and interpreting the results to solve a use-case is manually done by data scientists.

Data Science 98

Data Science Technology Data-driven Modeling 98

Smart Data Collective

MARCH 2, 2022

Data science is an evolving profession. A number of new platforms and tools are being regularly rolled out to help data scientists do their jobs more effectively and easily. Savvy data scientists and AI developers are keeping up with trends and learning the new technology that can help them work more efficiently.

Data Science 110

Data Science Enterprise Insurance Digital Transformation 110

Smarten

OCTOBER 4, 2023

Is it the Right Time for My Business to Initiate a Citizen Data Scientist Program? Whether you are a business owner, a business executive or a business manager, or you just like to keep up with industry trends, you no doubt have read about the transition of business users to Citizen Data Scientists.

Digital Transformation 67

Digital Transformation Data-driven Data Science Enterprise 67

DataRobot Blog

JUNE 1, 2022

Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., DataRobot AIX has purpose-built content for business leads, data scientists, and IT leaders.

Machine Learning 119

Machine Learning Risk Management Data-driven Risk 119

Octopai

APRIL 24, 2023

This new native integration enhances our data lineage solution by providing seamless integration with one of the most powerful cloud-based data warehouses, benefiting data teams and enabling support for a broader range of data lineage, discovery, and catalog.

Cost-Benefit 96

Cost-Benefit Data-driven Data Warehouse Data Governance 96

CIO Business Intelligence

DECEMBER 28, 2023

In hybrid and multicloud environments, the challenges were around cost surprises and excessive data flows between cloud and on-premises, or among different cloud environments. “IT The challenge for CIOs now is to create a data-driven culture and get business partners to chime in with high value data business cases.”

IT 127

IT Manufacturing Machine Learning IoT 127

Laminar Security

JULY 19, 2023

Laminar Launches Two New Solutions to Become First Full Data Security Platform for Multi-Cloud and SaaS Environments In today’s data-driven world, cloud computing has become the backbone of innovation and growth for enterprises across all industries. Laminar’s forward-thinking approach addresses these requirements.

Data Warehouse 91

Data Warehouse Data-driven Data Governance Risk 91

Smarten

APRIL 18, 2023

Digital Transformation and Citizen Data Scientists Go Hand-in-Hand! Gartner predicts that, ‘50% of organizations will adopt modern data quality solutions to better support their digital business initiatives.’ The human resource component is the active ingredient that makes it all work!

Digital Transformation 52

Digital Transformation Predictive Modeling Data Quality Enterprise 52

IBM Big Data Hub

FEBRUARY 16, 2024

A large, multinational automobile manufacturer responsible for producing millions of vehicles annually, engaged with IBM to streamline their manufacturing processes with seamless, automated inspections driven by real-time data and artificial intelligence (AI). The implementation costs were also lower than those of viable alternatives.

Manufacturing 103

Manufacturing Visualization Data-driven Measurement 103

Smarten

FEBRUARY 17, 2022

What Determines the Success of a Citizen Data Scientist Initiative? By now, every wise business team has acknowledged the advent of digital transformation and the transformation of business users into Citizen Data Scientists. This prediction reflects the shift toward the use of data within the enterprise, and rightly so.

Predictive Modeling 76

Predictive Modeling Digital Transformation Enterprise Data Science 76

Smart Data Collective

MARCH 27, 2023

Unleash your analytical prowess in today’s most coveted professions – Data Science and Data Analytics! As companies plunge into the world of data, skilled individuals who can extract valuable insights from an ocean of information are in high demand.

Data Science 92

Data Science Statistics Data-driven Machine Learning 92

CIO Business Intelligence

JUNE 7, 2022

But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers. Data scientist. Data engineer. ML engineer.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

CIO Business Intelligence

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace.

Digital Transformation 103

Digital Transformation Cost-Benefit Informatics Data mining 103