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 333

Management Machine Learning Experimentation Metrics 333

Rocket-Powered Data Science

JUNE 17, 2022

Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. log analytics and anomaly detection) across distributed data sources and diverse enterprise IT infrastructure resources.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Cloudera

APRIL 13, 2022

The term “AI-first” has received its share of attention lately, especially in the boardroom where strategies to gain a competitive advantage are always welcome. But before a company embarks on an AI-first strategy, it pays to understand what it is and how it will transform the organization. Product development. Procurement.

Data Collection 115

Data Collection Machine Learning Strategy Data-driven 115

CIO Business Intelligence

FEBRUARY 9, 2024

Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years. Digital Athlete is a platform that leverages AI and machine learning (ML) to predict from plays and body positions which players are at the highest risk of injury.

Recreation/Entertainment 134

Recreation/Entertainment Data-driven Risk Digital Transformation 134

Smart Data Collective

JUNE 8, 2023

Sports leagues and teams are using analytics to estimate turn out at various sporting events, predict the performance of individual athletes, identify ways that athletes can improve their performance and improve marketing strategies. We have mentioned that golf players have used data analytics to improve performance.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

Smart Data Collective

OCTOBER 16, 2023

Smart devices use sensors to collect data and upload it to the Internet. Examples include CCTV records, automated vacuum cleaners, weather station data, and other sensor-generated data. All in all, big data refers to massive data collections obtained from various sources. Is big data a risky business?

Big Data 101

Big Data IoT Cost-Benefit Advertising 101

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.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

TDAN

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

Predictive Modeling 115

Predictive Modeling Modeling Data mining Big Data 115

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 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

CIO Business Intelligence

MAY 16, 2022

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making. How edge refines data strategy. Getting edge-to-cloud data strategy right.

IoT 98

IoT Data Warehouse Internet of Things Machine Learning 98

Smart Data Collective

JULY 9, 2023

In the ever-evolving and increasingly competitive global e-commerce sector, businesses that strive to achieve and maintain high conversion rates face the pressing, yet necessary, task of harnessing the potential of accessible data. If you implement these tactics properly, then you will see your business reach success!

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

Smart Data Collective

DECEMBER 17, 2021

The process of Marketing Analytics consists of data collection, data analysis, and action plan development. Understanding your marketing data to make more informed and successful marketing strategy decisions is a systematic process. Types of Data Used in Marketing Analytics. Source: [link].

Marketing Analytics 93

Marketing Analytics Marketing Data-driven Analytics 93

CIO Business Intelligence

MARCH 30, 2022

For organizations looking to move beyond stale reports, decision intelligence holds promise, giving them the ability to process large amounts of data with a sophisticated mix of tools such as artificial intelligence and machine learning to transform data dashboards and business analytics into more comprehensive decision support platforms.

Machine Learning 144

Machine Learning Testing Risk Data-driven 144

Smart Data Collective

MAY 11, 2023

Since the launch of Smart Data Collective, we have talked at length about the benefits of AI for mobile technology. In this blog post, we will explore how AI-driven app development strategies can help your e-commerce business stay ahead in the mobile-first world. It automates tasks that a data analyst would typically do.

Cost-Benefit 97

Cost-Benefit Optimization Data-driven Marketing 97

Smart Data Collective

MAY 29, 2023

AI translation systems, particularly machine translation (MT), are not immune to this, and we should always confront and overcome this challenge. Let us uncover its implications in AI translation and discover effective strategies to combat them. AI translation models must collect and annotate data fairly.

Metrics 68

Metrics Measurement Data Collection Strategy 68

Cloudera

MAY 4, 2022

The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. Machines can predict when they will need maintenance and troubleshooting, alerting technicians to act. Benefits aplenty.

Cost-Benefit 132

Cost-Benefit Internet of Things Insurance Data-driven 132

CIO Business Intelligence

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data scientist job description.

Unstructured Data 136

Unstructured Data Data Analytics Analytics Structured Data 136

Smart Data Collective

MARCH 29, 2021

Asset data collection. Data has become a crucial organizational asset. Companies need to make the most out of their data resources, which includes collecting and processing them correctly. Data collection and processing methods are predicted to optimize the allocation of various resources for MRO functions.

Big Data 137

Big Data Management Cost-Benefit Internet of Things 137

IBM Big Data Hub

APRIL 22, 2024

We believe there are three core areas that every organization should focus on: sustainability strategy and reporting; energy transition and climate resilience; and intelligent asset, facility and infrastructure management. This approach can help organizations to more easily establish a sustainability strategy across the business.

IoT 78

IoT Internet of Things Cost-Benefit Reporting 78

Jen Stirrup

APRIL 16, 2024

.” Artificial Intelligence and Data: The Fuel for Green Hydrogen's Growth To optimize the production and supply chain of green hydrogen, stakeholders at the summit underlined the need for comprehensive data collection and analysis. Its application within the green hydrogen space can vastly improve operational efficiency.

Data Processing 58

Data Processing Data-driven Optimization Forecasting 58

Cloudera

SEPTEMBER 29, 2021

To pull ahead of the pack, a company needs to know what to do with its data. Without a data-driven strategy, you’re bound to lose ground to competitors who apply their data to operational improvements, product development, go-to-market strategies, and the customer experience. The digital race is on.

Data-driven 81

Data-driven Data Collection Strategy Enterprise 81

IBM Big Data Hub

FEBRUARY 7, 2024

1 In pursuit of net zero, organizations will focus their sustainability efforts on two paths in 2024: Clean energy : The transition from fossil fuels to renewable energy sources is central to sustainability strategies and net zero initiatives, and was a central issue last year at the United Nations’ COP28 climate summit.

Reporting 90

Reporting Internet of Things Cost-Benefit Data-driven 90

CIO Business Intelligence

SEPTEMBER 19, 2023

AI personalization utilizes data, customer engagement, deep learning, natural language processing, machine learning, and more to curate highly tailored experiences to end-users and customers. Artificial Intelligence, Chatbots, IT Strategy, Predictive Analytics

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

Smart Data Collective

JANUARY 26, 2021

Big data technology has been instrumental in helping organizations translate between different languages. We covered the benefits of using machine learning and other big data tools in translations in the past. Using a Translation Company with Your Big Data Strategy. If it happens, technology can monitor it.

Data Architecture 120

Data Architecture Big Data Data Strategy Data-driven 120

Jet Global

AUGUST 11, 2020

Expanded Use of Automation and Machine Learning. Automation can also be used to consolidate financial statements; execute fast, accurate dynamic modeling; assist in tax data collection and preparation ; and assist with many other services overseen by the office of the CFO.

Digital Transformation 90

Digital Transformation Finance Machine Learning Data Collection 90

Cloudera

MARCH 29, 2022

To capitalize on the opportunities that data creates for the public good, state and local CIOs must harness data in motion with a cohesive strategy and platform. It’s no secret that the cloud has become the go-to infrastructure foundation for a modern data strategy. What makes (or breaks) a hybrid data cloud?

Cost-Benefit 99

Cost-Benefit Strategy Data Science Data Processing 99

CIO Business Intelligence

JULY 20, 2023

To offer customers a shopping experience that is accessible, seamless, and engaging, retail IT leaders must devise revenue-focused strategies that, harness cutting-edge technology to address present and future needs of the business. Moreover, investing more time with a product increases their familiarity with your brand.

Technology 75

Technology Forecasting Advertising Machine Learning 75

FineReport

MARCH 24, 2024

Data Analyst Job Description: Major Tasks and Duties Data analysts collaborate with management to prioritize information needs, collect and interpret business-critical data, and report findings. Certified Analytics Professional (CAP) , providing advanced insights into converting data into actionable insights.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

MARCH 14, 2023

Even though Qualtrics is still a market leader and a strong product, it just didn’t fit very well with SAP’s strategy,” said Hyoun Park, principal analyst at research firm Amalgam Insights. The company is now expected to focus more on these businesses as part of its CX products strategy, according to analysts.

Sales 52

Sales Strategy Machine Learning Marketing 52

Smart Data Collective

APRIL 25, 2022

If you are relying on simple manual tracking processes, then this can be difficult to stay on topic due to the large amounts of online information and data about your business which is out there. Instead, machine learning algorithms can be much more effective when tracking online reviews. Social Media Listening.

Management 135

Management Machine Learning Marketing Deep Learning 135

Smart Data Collective

APRIL 22, 2020

This moment in history is unlike any other — and the value of data in ending it resembles nothing we’ve yet seen. Combining the coronavirus and big data may prove just how valuable artificial intelligence and other major technologies can be. .” Predicting Patient Treatment Outcomes.

Big Data 110

Big Data Machine Learning Risk Interactive 110

Cloudera

AUGUST 6, 2021

This data needs to be harmonized in a way that presents a unified view of the customer journey and ideally a real-time view of their propensity to perform certain actions, with suggested options to increase or decrease that propensity. Strategy and culture are core components of a data driven organization . Data Strategy.

Data-driven 105

Data-driven B2B Data Strategy Strategy 105

IBM Big Data Hub

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?

Marketing 79

Marketing Technology Advertising ROI 79

IBM Big Data Hub

OCTOBER 16, 2023

By looking critically at these examples, and at successes in overcoming bias, data scientists can begin to build a roadmap for identifying and preventing bias in their machine learning models. Policy orchestration within a data fabric architecture is an excellent tool that can simplify the complex AI audit processes.

Advertising 69

Advertising Machine Learning Data Architecture Cost-Benefit 69

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 120

Cost-Benefit Internet of Things Data-driven Data Lake 120

Occam's Razor

MARCH 30, 2017

Machine Learning | Marketing. Machine Learning | Analytics. My personal strategy: Understand reality. Invest in continuous learning. People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. AI | Now | Global Maxima.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53