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 138

Data Science Statistics Machine Learning Visualization 138

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 122

Big Data Data Analytics Analytics Predictive Modeling 122

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

AWS Big Data

APRIL 18, 2024

The Salesforce Trust Intelligence Platform (TIP) log platform team is responsible for data pipeline and data lake infrastructure, providing log ingestion, normalization, persistence, search, and detection capability to ensure Salesforce is safe from threat actors. Headquartered in San Francisco, Salesforce, Inc.

Optimization 85

Optimization Data Lake Management Key Performance Indicator 85

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 140

Unstructured Data Modeling Machine Learning Data mining 140

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 74

Management Optimization Strategy Enterprise 74

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 136

IT Consulting Reporting Software 136

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

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Plus, AI can also help find key insights encoded in data.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

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 136

Predictive Analytics Analytics Statistics Machine Learning 136

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 116

Experimentation Cost-Benefit Digital Transformation Risk 116

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 130

Data Analytics Diagnostic Analytics Management Analytics 130

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

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

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 87

Cost-Benefit Modeling Manufacturing Interactive 87

AWS Big Data

NOVEMBER 16, 2023

In today’s data-driven world, organizations face unprecedented challenges in managing and extracting valuable insights from their ever-expanding data ecosystems. As the number of data assets and users grow, the traditional approaches to data management and governance are no longer sufficient.

Management 109

Management Data Lake Sales Machine Learning 109

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

JUNE 23, 2022

One signal comes from the venture capital market: over 40 startups have raised significant funding—$20M or more —to build AI solutions for the industry. While low-code has the ability to simplify workloads for programmers, no-code solutions, which require no data science intervention, will have the biggest impact on the enterprise and beyond.

Software 136

Software Modeling Metrics Enterprise 136

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

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 125

Data Science Analytics Machine Learning Optimization 125

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 90

Consulting Enterprise Technology Machine Learning 90

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

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 142

Data mining Data Science Informatics Statistics 142

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 86

Deep Learning Unstructured Data Machine Learning Modeling 86

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 126

Enterprise Consulting Modeling Cost-Benefit 126

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 92

IT Data Science IoT Digital Transformation 92

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

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 121

IT Manufacturing Machine Learning IoT 121

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

Smarten

APRIL 19, 2024

But before we dive into the future of AI, let’s define a few terms: Generative Artificial Intelligence (AI) – A branch of computer science, involving unsupervised and semi-supervised algorithms that allow a system to create content in response to prompts, by repurposing and translating content from text, audio, images and code.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

IBM Big Data Hub

JANUARY 17, 2023

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

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

NOVEMBER 6, 2023

Amazon EMR Studio is an integrated development environment (IDE) that makes it straightforward for data scientists and data engineers to develop, visualize, and debug data engineering and data science applications written in R, Python, Scala, and PySpark. This helps you reduce operational overhead.

Data Lake 92

Data Lake Sales Management Testing 92