O'Reilly on Data

FEBRUARY 18, 2020

O’Reilly online learning contains information about the trends, topics, and issues tech leaders need to watch and explore. It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%.

Data-driven 363

Data-driven Software Statistics Marketing 363

O'Reilly on Data

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Why: Data Makes It Different.

IT 364

IT Testing Experimentation Software 364

O'Reilly on Data

JUNE 7, 2022

And granted, a lot can be done to optimize training (and DeepMind has done a lot of work on models that require less energy). That’s an allusion to the debate ( sometimes on Twitter ) between LeCun and Gary Marcus, who has argued many times that combining deep learning with symbolic reasoning is the only way for AI to progress. (In

Modeling 364

Modeling Interactive Optimization Deep Learning 364

Domino Data Lab

APRIL 29, 2021

Deep learning enthusiasts are increasingly putting NVIDIA’s GTC at the top of their gotta-be-there conference list. Three of them were particularly compelling and inspired a new point of view on transfer learning that I feel is important for analytical practitioners and leaders to understand. Deep Learning Trends from GTC21.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

Occam's Razor

MARCH 30, 2017

Perhaps you now see why I’ve pivoted my career to Storytelling with data over the last couple of years. :). Invest in continuous learning. The most conservative estimate is that AI driven changes are expected to replace 25% of jobs across the world, by 2026. Deep Learning is a specific ML technique.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Smart Data Collective

AUGUST 6, 2020

At Smart Data Collective, we have talked about a few impressive technological trends that are shaping modern business in the 21st-century. He found that AI-driven text to speech software was much more useful. You can use deep learning technology to replicate a voice that your audience will resonate with.

Deep Learning 117

Deep Learning Visualization Data-driven Marketing 117

CIO Business Intelligence

SEPTEMBER 19, 2023

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. For other companies, AI use in customer service has also been driven by consumer’s increased expectations.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

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

CIO Business Intelligence

AUGUST 13, 2024

Unlike siloed or shallow automation efforts, deep automation architects a perspective that integrates customer experiences, value streams, human-machine collaboration, and synergistic technologies to create intelligent, self-adjusting businesses. It emphasizes end-to-end integration, intelligent design, and continuous learning.

Data-driven 130

Data-driven Metrics Optimization Machine Learning 130

Rocket-Powered Data Science

JULY 13, 2023

Data is more than just another digital asset of the modern enterprise. So, what happens when the data flows are not quarterly, or monthly, or even daily, but streaming in real-time? Well, it soon became clear that the real problem was the reverse: how can we have our business move at the speed of our data?

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

O'Reilly on Data

MARCH 31, 2020

A PM for AI needs to do everything a traditional PM does, but they also need an operational understanding of machine learning software development along with a realistic view of its capabilities and limitations. AI products are automated systems that collect and learn from data to make user-facing decisions.

Management 363

Management Machine Learning Experimentation Metrics 363

Smart Data Collective

NOVEMBER 9, 2022

There are a number of great applications of machine learning. One of the biggest benefits is testing processes for optimal effectiveness. The main purpose of machine learning is to partially or completely replace manual testing. One example is using machine learning tools like Selenium to test web development processes.

Machine Learning 122

Machine Learning Testing Cost-Benefit Data-driven 122

CIO Business Intelligence

JANUARY 20, 2023

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security.

Analytics 137

Analytics Key Performance Indicator Unstructured Data Deep Learning 137

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

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. The simplest answer is that these terms refer to some of the many analytic methods available to Data Scientists.

Statistics 84

Statistics Machine Learning Deep Learning Sales 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. Optimize raw material deliveries based on projected future demands.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

Smart Data Collective

DECEMBER 9, 2021

It’s no secret that big data technology has transformed almost every aspect of our lives — and that’s especially true in business, which has become more tech-driven and sophisticated than ever. A number of new trends in big data are affecting the direction of the accounting sector. billion last year. Social Media.

Technology 133

Technology Big Data Machine Learning Deep Learning 133

CIO Business Intelligence

APRIL 1, 2022

Better decision-making isn’t always about deciding whether A or B is the optimal choice. Converge Technology Solutions helps its client generate real value from data by building custom AI solutions with Dell infrastructure. Many insights can be gained from data when the underlying relationships can be seen and understood.

Data-driven 98

Data-driven Deep Learning Risk Optimization 98

AWS Big Data

MAY 16, 2024

In this post, we discuss how Amazon Redshift spatial index functions such as Hexagonal hierarchical geospatial indexing system (or H3) can be used to represent spatial data using H3 indexing for fast spatial lookups at scale. Navigating the vast landscape of data-driven insights has always been an exciting endeavor.

Data Warehouse 118

Data Warehouse Visualization Cost-Benefit Data-driven 118

CIO Business Intelligence

MARCH 22, 2022

Most organizations have come to understand the importance of being data-driven. To compete in a digital economy, it’s essential to base decisions and actions on accurate data, both real-time and historical. But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

Smart Data Collective

MARCH 27, 2023

billion on AI in 2021 , but small businesses may spend even more on AI-driven financial management software. They have also started integrated computer vision and deep learning technology to identify inefficiencies. Many small businesses are investing in AI-driven financial management software.

Software 118

Software Finance Cost-Benefit Data-driven 118

BizAcuity

JUNE 16, 2022

Under this model, the strategy is to make use of both private (for highly confidential data) and public cloud infrastructure for cost and performance optimization. A well-calculated combination can do miracles for cost saving without compromising on data security. So as to cut latency and optimize the cloud storage system.

Data-driven 52

Data-driven IoT Data Processing Deep Learning 52

CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science. Using Data to Generate Simulations.

Manufacturing 119

Manufacturing Digital Transformation Predictive Analytics Strategy 119

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others.

Technology 279

Technology Internet of Things IT IoT 279

Smart Data Collective

APRIL 3, 2020

Big data is driving a number of changes in the business community. Some of the benefits of big data incredibly obvious. However, there are also a lot of other benefits big data creates that don’t get as much publicity. One of the biggest benefits of big data is that it can create giveaway bots for online businesses.

Big Data 118

Big Data Data-driven Data mining Software 118

DataRobot Blog

APRIL 22, 2022

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. D, as in size of “Data” More data normally increases accuracy, but the marginal contribution decreases quite quickly, (i.e.,

Machine Learning 98

Machine Learning Measurement Deep Learning Manufacturing 98

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. To control and harness technology’s potential, utilities will require OT modernization to leverage vast amounts of real-time data.

Deep Learning 111

Deep Learning Cost-Benefit Data-driven Manufacturing 111

Smart Data Collective

MAY 17, 2021

Big data is at the heart of the digital revolution. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. Improved Fleet Management Controls.

Big Data 132

Big Data Cost-Benefit IoT Machine Learning 132

Cloudera

OCTOBER 24, 2023

The AI technologies of today—including not just large language models (LLMs) but also deep learning, reinforcement learning, and natural-language processing (NLP) tools—will equip telcos with powerful new automation and analytics capabilities. AI-powered automation is already driving significant margin growth by reducing costs.

Interactive 81

Interactive Data-driven Cost-Benefit Optimization 81

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 109

Data Warehouse Cost-Benefit Dashboards Optimization 109

Domino Data Lab

OCTOBER 14, 2020

Guest post by Jeff Melching, Distinguished Engineer / Chief Architect Data & Analytics. We’ve developed a model-driven software platform, called Climate FieldView , that captures, visualizes, and analyzes a vast array of data for farmers and provides new insight and personalized recommendations to maximize crop yield.

Experimentation 99

Experimentation Deep Learning Modeling Testing 99

bridgei2i

NOVEMBER 17, 2020

But what is changing today, is the nature and shape of data powering these systems and processes. A variety of signals in the new digital world can be transformed into data to derive insights and learnings on how to improve process performance. Automation through technology had the same outcomes as the first wave though.

Deep Learning 85

Deep Learning Manufacturing Data-driven Optimization 85

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types.

Enterprise 118

Enterprise Testing Modeling Data-driven 118

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 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

IBM Big Data Hub

FEBRUARY 19, 2024

Data monetization empowers organizations to use their data assets and artificial intelligence (AI) capabilities to create tangible economic value. This value exchange system uses data products to enhance business performance, gain a competitive advantage, and address industry challenges in response to market demand.

Cost-Benefit 63

Cost-Benefit Data-driven Optimization Marketing 63

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time. trillion in that year.

Unstructured Data 90

Unstructured Data Cost-Benefit Machine Learning Experimentation 90