O'Reilly on Data

FEBRUARY 19, 2021

The data that powers ML applications is as important as code, making version control difficult; outputs are probabilistic rather than deterministic, making testing difficult; training a model is processor intensive and time consuming, making rapid build/deploy cycles difficult. A Wave of Cloud-Native, Distributed Data Frameworks.

Data Lake 289

Data Lake Data Warehouse Machine Learning Modeling 289

CIO Business Intelligence

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. An NLP algorithm uses this data to find patterns and extrapolate what comes next.

Unstructured Data 142

Unstructured Data Modeling Machine Learning Data mining 142

CIO Business Intelligence

FEBRUARY 26, 2024

Here, in an extract from his book, AI for Business: A practical guide for business leaders to extract value from Artificial Intelligence , Peter Verster, founder of Northell Partners, a UK data and AI solutions consultancy, explains four of them. Are leaders open to hearing ideas and feedback from their team members?

Experimentation 125

Experimentation Cost-Benefit Digital Transformation Risk 125

CIO Business Intelligence

FEBRUARY 19, 2024

So NCDIT officials took action, creating an internship program for Historically Black Colleges and Universities (HBCUs) students, a move that would open up for the organization a new pipeline for talent traditionally underrepresented in the IT industry. “We If I graduated today, that would be my No. 1 option,” he says.

IT 137

IT Consulting Reporting Software 137

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics. Tune in to learn more. Registration is free for both events.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Open Source. Visual IDE for data pipelines; RPA for rote tasks.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

CIO Business Intelligence

APRIL 25, 2024

Here’s a look at why you might want to roll your own cloud cost solution, what makes a successful DIY approach, and how some leading organizations have already done so. Evolving enterprise needs often outpace the product roadmaps of SaaS cost optimization solutions providers.

Management 62

Management Optimization Strategy Enterprise 62

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Cloudera

NOVEMBER 1, 2023

Elevate your AI applications with our latest applied ML prototype At Cloudera, we continuously strive to empower organizations to unlock the full potential of their data, catalyzing innovation and driving actionable insights. High-level overview of real-time data ingest with Cloudera DataFlow to Pinecone vector database.

Machine Learning 105

Machine Learning Optimization Modeling Interactive 105

CIO Business Intelligence

JANUARY 24, 2024

Great for: Extracting meaning from unstructured data like network traffic, video & speech. Downsides: Lower accuracy; the source of dumb chatbots; not suited for unstructured data. Pay-as-you-go offerings provide the convenience of a turnkey solution that can scale rapidly. What’s the right infrastructure for AI?

Deep Learning 110

Deep Learning Unstructured Data Machine Learning Modeling 110

CIO Business Intelligence

MARCH 24, 2023

I actually had no other choice than going for the cloud at that time,” says Joseph Bejjani, CIO of Idorsia, who selected Veeva, an industry cloud for life sciences. Veeva’s life sciences cloud, for example, not only handles Idorsia’s regulatory, sustainability, and commercial processes but also provides predefined FDA formatting.

Consulting 108

Consulting Enterprise Technology Machine Learning 108

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. 46% of survey respondents in 2024 showed a preference for open source models.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

Cloudera

MARCH 26, 2024

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. ” said Sanjeev Mohan, Principal, SanjMo & Former Gartner Research VP, Data & Analytics.

Cost-Benefit 79

Cost-Benefit Machine Learning Enterprise Modeling 79

Ontotext

MAY 19, 2021

The Open Science (or Open Scholarship) movement has been gaining momentum, especially since the European Commission has committed itself to ensuring open access to all funded research in April 2016. Ontotext’s knowledge graph-based technologies are seen as a key to realizing the benefits of Open Science.

Publishing 72

Publishing Measurement Data-driven Metrics 72

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. The problem is even more magnified in the case of structured enterprise data.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

CIO Business Intelligence

MAY 5, 2022

The boom in data science continues unabated. The work of gathering and analyzing data was once just for a few scientists back in the lab. Now every enterprise wants to use the power of data science to streamline their organizations and make customers happy. Data scientists use them to swap ideas and deliver ideas.

Data Science 128

Data Science Analytics Machine Learning Optimization 128

AWS Big Data

MAY 4, 2023

Welcome to the era of data. The sheer volume of data captured daily continues to grow, calling for platforms and solutions to evolve. Services such as Amazon Simple Storage Service (Amazon S3) offer a scalable solution that adapts yet remains cost-effective for growing datasets.

Data Processing 92

Data Processing Metadata Informatics Interactive 92

CIO Business Intelligence

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill. Geographical nuances are also arising. The net result?

IT 98

IT Data Science IoT Digital Transformation 98

CIO Business Intelligence

AUGUST 24, 2023

Multinational data infrastructure company Equinix has been capitalizing on machine learning (ML) since 2018, thanks to an initiative that uses ML probabilistic modeling to predict prospective customers’ likelihood of buying Equinix offerings — a program that has contributed millions of dollars in revenue since its inception.

Sales 97

Sales Data-driven Digital Transformation Machine Learning 97

AWS Big Data

MARCH 14, 2024

For us, Kafka’s high-performance distributed log system excels in handling massive data streams, making it indispensable for seamless communication. The unwavering reliability of Kafka aligns with our commitment to data integrity. With Amazon MSK, we took advantage of open monitoring using Prometheus.

Management 106

Management Insurance Optimization Strategy 106

CIO Business Intelligence

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Traditional ML requires a lot of data, experienced data scientists, as well as training and tuning.

Enterprise 128

Enterprise Consulting Modeling Cost-Benefit 128

Business Over Broadway

MARCH 22, 2021

Data Science Roles and Their Skill Sets. Specifically, to learn about data science and machine learning, it is good to ask data professionals who work in those areas. Today, I am extending that research and am reaching out to the data community to ask for help. The survey will be open through April 22.

Machine Learning 109

Machine Learning Data Science Reporting Analytics 109

Smart Data Collective

NOVEMBER 18, 2020

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. What is Data Science? Definition: Data Mining vs Data Science.

Data mining 143

Data mining Data Science Informatics Statistics 143

CIO Business Intelligence

DECEMBER 28, 2023

This immediately opened the potential to tap more value from legacy systems.” 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 New technology enabled new solutions 2023 was also a year of new solutions.

IT 127

IT Manufacturing Machine Learning IoT 127

DataRobot

MAY 11, 2021

It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for data scientists who love to code and share their expertise across teams of all skill levels. At DataRobot, we have always known that data science is a team sport. Data Exploration, Visualization, and First-Class Integration.

Data Science 98

Data Science Cost-Benefit Data Processing Modeling 98

IBM Big Data Hub

NOVEMBER 3, 2023

As a result, I see access to real-time data as a necessary foundation for building business agility and enhancing decision making. Stream processing is at the core of real-time data. Apache Kafka streams get data to where it needs to go, but these capabilities are not maximized when Apache Kafka is deployed in isolation.

Cost-Benefit 78

Cost-Benefit Experimentation Testing Digital Transformation 78

Data Science 101

FEBRUARY 29, 2020

Lots of announcements this week, so without delay, let’s get right to Cloud Data Science 9. Google Announces Cloud SQL for Microsoft SQL Server Google’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL Google Opens a new Cloud Region Located in Salt Lake City, Utah, it is named us-west3.

Data Science 106

Data Science IoT Deep Learning IT 106

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 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Smarten

NOVEMBER 20, 2023

AI is often used as a term to define computer science and its evolution into ‘thought.’ Today, systems developed using AI are used in science, research, government, analytics, etc., GPT is open-source. Its training model is huge, consisting of many terabytes of text data. It is not open-source. GPT is an LLM.

Technology 52

Technology Digital Transformation Software Consulting 52

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. a new version of AWS Glue that accelerates data integration workloads in AWS.

Data Lake 79

Data Lake Visualization Dashboards Insurance 79

Smart Data Collective

SEPTEMBER 25, 2023

Data science has been one of the biggest gamechangers affecting countless industries all around the world. More and more companies are hiring skilled data scientists to help them address some of their most pressing challenges. The BLS reports that the average data scientist earns $115,240 a year.

Data Science 91

Data Science Marketing Strategy Technology 91

DataRobot Blog

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. DataRobot Booth at Big Data & AI Toronto 2022. Today, his team is using open-source packages without a standardized AI platform.

Big Data 96

Big Data Forecasting Experimentation Metrics 96

AWS Big Data

AUGUST 2, 2023

This post was co-written by Sheel Saket, Senior Data Science Manager at FIS, and Rupesh Tiwari, Senior Architect at Amazon Web Services. In their quest for a solution, they teamed up with AWS to tackle these obstacles head-on. If these questions resonate with you, then you’re not alone.

Visualization 79

Visualization Insurance Cost-Benefit Finance 79

IBM Big Data Hub

JULY 19, 2023

Life sciences industry is beginning to take notice and aims to leapfrog the technological advances. Life sciences industry has—for decades now—moved from the traditional discovery-based drug development to target market-based drug development paradigm.

Consulting 65

Consulting Machine Learning Manufacturing Optimization 65

Smart Data Collective

DECEMBER 19, 2021

The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process.

Optimization 135

Optimization Machine Learning Data mining Statistics 135

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? This post will dive deeper into the nuances of each field.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

TIBCO

MARCH 22, 2021

This year, embrace the spirit of spring at the TIBCO Analytics Forum (TAF) 2021 by learning about new analytics and data management technologies and approaches and how to foster growth in the coming years. With spring comes the promise of new beginnings and the blossoming of new life.

Analytics 97

Analytics Manufacturing Digital Transformation Data Science 97