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

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. Data integration and cleaning. Data unification and integration.

Machine Learning 255

Machine Learning Data Quality Statistics Modeling 255

CIO Business Intelligence

MARCH 22, 2022

How do you introduce AI into your data and analytics infrastructure? To companies entrenched in decades-old business and IT processes, data fiefdoms, and legacy systems, the task may seem insurmountable. Set up unified data governance rules and processes. Consider deploying analytics-as-a-service .

Analytics 103

Analytics Key Performance Indicator Data Warehouse Data-driven 103

Sisense

APRIL 15, 2021

Analytics is the future. Your company is gathering data (and has likely been doing so for years), and you’ve probably got a system or two to glean insights from that data to make smarter decisions. The good news is that augmented analytics will make your life a lot easier! Simplify analytics with AI.

Analytics 98

Analytics Data Science Modeling Machine Learning 98

CIO Business Intelligence

APRIL 25, 2022

Enterprises are betting big on machine learning (ML). According to IDC , 85% of the world’s largest organizations will be using artificial intelligence (AI) — including machine learning (ML), natural language processing (NLP) and pattern recognition — by 2026. Intel® Technologies Move Analytics Forward.

Machine Learning 130

Machine Learning Enterprise Deep Learning Cost-Benefit 130

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

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Metrics 83

Metrics Machine Learning Risk Statistics 83

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. IT Leadership

Deep Learning 93

Deep Learning Snapshot Optimization Data Quality 93

Cloudera

OCTOBER 1, 2022

These companies face a unique set of data governance challenges regarding infrastructure and compliance on local, national, and international levels. Some organizations are choosing to confront these challenges with the help of tools like machine learning (ML) and artificial intelligence (AI) to automate, streamline, and scale compliance. .

Data Governance 73

Data Governance Strategy Enterprise Machine Learning 73

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 102

Deep Learning Big Data ROI Software 102

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. Machine learning adds uncertainty.

Management 327

Management Machine Learning Experimentation Metrics 327

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 109

Data Lake Unstructured Data Data Warehouse Data Quality 109

CIO Business Intelligence

JANUARY 31, 2023

These changes bring new challenges, but advancements in IT automation, artificial intelligence (AI) and machine learning (ML), and edge-computing capabilities will play a key role. Intel® Technologies Move Analytics Forward Data analytics is the key to unlocking the most value you can extract from data across your organization.

Deep Learning 105

Deep Learning Cost-Benefit Data-driven Manufacturing 105

CIO Business Intelligence

JUNE 7, 2022

But only in recent years, with the growth of the web, cloud computing, hyperscale data centers, machine learning, neural networks, deep learning, and powerful servers with blazing fast processors, has it been possible for NLP algorithms to thrive in business environments. Intel® Technologies Move Analytics Forward.

Unstructured Data 92

Unstructured Data Deep Learning Insurance Interactive 92

AWS Big Data

MARCH 1, 2023

Finding similar columns in a data lake has important applications in data cleaning and annotation, schema matching, data discovery, and analytics across multiple data sources. Transform CSV to Parquet Raw CSV files are converted to Parquet data format with AWS Glue.

Data Lake 87

Data Lake Deep Learning Modeling Interactive 87

CIO Business Intelligence

JUNE 1, 2022

Racing car design innovation and racing strategy are now dominated by what McLaren engineers call condition-based insights derived from real-time data feeds from hundreds of sensors in cars and the use of digital twins ? and artificial intelligence (AI) and machine learning (ML) technologies. . Just starting out with analytics?

Manufacturing 108

Manufacturing Digital Transformation Predictive Analytics Strategy 108

CIO Business Intelligence

APRIL 11, 2022

Within the “Quality of Place” initiative, Doral will also implement new systems that will provide more environmental and background information to police officers responding to incidents. Location details and facial recognition enhanced by video analytics and artificial intelligence will help them act faster and strengthen their safety.

IoT 145

IoT Measurement Cost-Benefit Deep Learning 145

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. But being an inquisitive Sherlock Holmes of data is no easy task. In the past, data scientists had to rely on powerful computers to manage large volumes of data.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

APRIL 6, 2022

By giving leadership at all levels more timely access to critical data about business operations, businesses can see more of their options, make and automate better decisions, and further improve efficiency to drive higher customer satisfaction and profitability. Intel® Technologies Move Analytics Forward.

Data mining 71

Data mining Deep Learning Insurance Digital Transformation 71

CIO Business Intelligence

MARCH 14, 2022

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

Data Processing 114

Data Processing Optimization Deep Learning Software 114

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business.

Marketing 361

Marketing Experimentation Metrics Testing 361

CIO Business Intelligence

APRIL 11, 2022

Using artificial intelligence (AI) and machine learning, more than 1.9 However, given the ability of defrauders to operate anywhere in the world, data useful in identifying fraud could be available and leveraged anywhere in the global system. Intel® Technologies Move Analytics Forward. Just starting out with analytics?

Deep Learning 58

Deep Learning Strategy Risk Data Quality 58

CIO Business Intelligence

JANUARY 4, 2023

It’s a tall order, and one that will hinge on a few factors: Accelerator deployment and management at scale Changes to power and cooling design decisions at very large scale Open-source deployment of high-performance clusters to run simulation, AI, and data analytics workloads What’s New and Growing Among HPC Users? IT Leadership.

Cost-Benefit 58

Cost-Benefit Machine Learning Modeling Uncertainty 58

Ontotext

MAY 22, 2023

Click To Tweet How will LLM impact text analysis and content analytics? This is the case with the so-called intelligent data processing (IDP), which uses a previous generation of machine learning. We use other deep learning techniques for such tasks. We will demonstrate the results of such use of LLMs soon.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch ’s “ Product Management for AI ”session at Rev provided a “crash course” on what product managers and leaders need to know about shipping machine learning (ML) projects and how to navigate key challenges. Be aware that machine learning often involves working on something that isn’t guaranteed to work.

Management 110

Management Machine Learning Experimentation Metrics 110

CIO Business Intelligence

APRIL 4, 2022

Their legacy databases could not analyze the volumes of data fast enough to block fraudulent activities without negatively impacting their responsiveness. . Deep link analytics combined with real-time analysis and machine learning provide a robust platform for detecting and preventing fraud.

Technology 52

Technology Deep Learning Cost-Benefit Data Quality 52

CIO Business Intelligence

APRIL 12, 2022

The challenge is being met using a real-time federated approach with scalable, high-performance hyperconverged infrastructures (HCI), allowing organizations to capture and process large amounts of data at the edge, and provide real-time insights. Intel® Technologies Move Analytics Forward. Just starting out with analytics?

IT 71

IT Cost-Benefit IoT Machine Learning 71

CIO Business Intelligence

MAY 16, 2022

The data gathered from cameras and sensors as part of a computer vision system, along with machine learning, make it easier to find missing persons and to identify people who are not allowed to be in a venue. Intel® Technologies Move Analytics Forward. Just starting out with analytics?

Recreation/Entertainment 88

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 88

DataRobot Blog

DECEMBER 20, 2022

Yet, in the digital transformation era, the pricing and assessment of real estate assets is more difficult than described by brokers’ presentations, valuation reports, and traditional analytical approaches like hedonic models. Building analytical approaches to assess asset’s price and rent that comply with regulations.

Management 59

Management Machine Learning Optimization Modeling 59

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Welcome back to our monthly series about data science! This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49