Smart Data Collective

FEBRUARY 16, 2023

We have talked extensively about some of the changes machine learning has introduced to the marketing profession. According to one analysis, companies that used machine learning in their marketing strategies boosted sales by up to 50%. How Can Machine Learning Boost Your Social Media Marketing ROI?

Machine Learning 140

Machine Learning ROI Marketing Advertising 140

David Menninger's Analyst Perspectives

MAY 15, 2025

Oracle recently hosted its annual Database Analyst Summit, sharing the vision and strategy for its data platform. In addition to various deployment options, Oracle offers several database services, including Oracle Exadata optimized infrastructure, Oracle Autonomous Database, Oracle Autonomous Data Warehouse and Heatwave MySQL service.

Data Lake 130

Data Lake Data Warehouse Machine Learning Software 130

Smart Data Collective

APRIL 13, 2022

Machine learning technology is becoming a more important aspect of modern marketing. One of the biggest reasons for this is that digital marketing is playing a huge role in marketing strategies for most companies. Machine learning technology is a very important element of digital marketing.

Machine Learning 137

Machine Learning Advertising Cost-Benefit Marketing 137

Smart Data Collective

NOVEMBER 7, 2023

If you’re eager to monetize the web hosting services you offer to third party site owners, or you have a selection of self-hosted sites which you are eager to wring more cash out of, then machine learning could be the answer. This is where machine learning from top developers comes into play.

Data Processing 124

Data Processing Machine Learning Measurement Optimization 124

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. We won’t go into the mathematics or engineering of modern machine learning here.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

JUNE 2, 2022

Recent notable research from the University of Cambridge, enabled by energy efficient HPC, includes a study on transformational machine learning (TML) and another on a robotic approach to reproducing research results. . Teaching Machines to ‘Learn How to Learn’. Just starting out with analytics?

Machine Learning 142

Machine Learning Deep Learning Data Quality Strategy 142

Smart Data Collective

FEBRUARY 28, 2023

Machine learning technology has already had a huge impact on our lives in many ways. There are numerous ways that machine learning technology is changing the financial industry. However, machine learning can also help financial professionals as well. What is risk parity?

Machine Learning 117

Machine Learning Risk Cost-Benefit Marketing 117

AWS Big Data

JANUARY 9, 2025

In our previous post Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg , we showed how to use Apache Iceberg in the context of strategy backtesting. This capability is particularly valuable in maintaining the integrity of backtests and the reliability of trading strategies.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

CIO Business Intelligence

DECEMBER 30, 2024

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance.

IoT 105

IoT Digital Transformation Internet of Things Machine Learning 105

CIO Business Intelligence

NOVEMBER 4, 2024

research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Nutanix commissioned U.K.

Marketing 128

Marketing Data Quality Data Governance Digital Transformation 128

Smart Data Collective

FEBRUARY 23, 2023

By analyzing data and extracting useful insights, brands can make informed decisions to optimize their branding strategies. This article will explore data mining and how it can help online brands with brand optimization. Conclusion Data mining is a powerful tool for online brands looking to optimize their branding strategies.

Data mining 145

Data mining Optimization Technology Marketing 145

CIO Business Intelligence

OCTOBER 30, 2024

As businesses increasingly rely on digital platforms to interact with customers, the need for advanced tools to understand and optimize these experiences has never been greater. While Felix AI already enables businesses to process data at scale and act on insights faster, the potential for further automation and optimization is vast.

Analytics 128

Analytics Metrics Optimization Interactive 128

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

Also center stage were Infor’s advances in artificial intelligence and process mining as well as its environmental, social and governance application and supply chain optimization enhancements. Optimize workflows by redesigning processes based on data-driven insights. Establish and support continuous improvement initiatives.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

CIO Business Intelligence

DECEMBER 10, 2024

To integrate AI into enterprise workflows, we must first do the foundation work to get our clients data estate optimized, structured, and migrated to the cloud. Once the data foundation is in place, it is important to then select and embed the best combination of AI models into the workflow to optimize for cost, latency, and accuracy.

Modeling 116

Modeling Insurance Unstructured Data Experimentation 116

Smart Data Collective

SEPTEMBER 29, 2022

One study by Think With Google shows that marketing leaders are 130% as likely to have a documented data strategy. Data strategies are becoming more dependent on new technology that is arising. You get the structured information in a machine-readable format, such as JSON. The software learns from the documents submitted to it.

Data-driven 145

Data-driven Data Quality Optimization Insurance 145

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. . Collaboration and Sharing.

Testing 304

Testing Machine Learning Consulting Data Science 304

AWS Big Data

OCTOBER 17, 2024

Whether you’re just getting started with searches , vectors, analytics, or you’re looking to optimize large-scale implementations, our channel can be your go-to resource to help you unlock the full potential of OpenSearch Service.

Analytics 116

Analytics Optimization Data-driven Data Architecture 116

O'Reilly on Data

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager.

Management 364

Management Experimentation B2B Machine Learning 364

Smart Data Collective

FEBRUARY 9, 2022

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge.

Visualization 145

Visualization Optimization Analytics Testing 145

CIO Business Intelligence

OCTOBER 24, 2024

By 2026, hyperscalers will have spent more on AI-optimized servers than they will have spent on any other server until then, Lovelock predicts. Forrester also recently predicted that 2025 would see a shift in AI strategies , away from experimentation and toward near-term bottom-line gains. Next year, that spending is not going away.

IT 133

IT Data-driven Recreation/Entertainment Experimentation 133

O'Reilly on Data

SEPTEMBER 15, 2020

Likewise, AI doesn’t inherently optimize supply chains, detect diseases, drive cars, augment human intelligence, or tailor promotions to different market segments. Therefore, AI techniques don’t just solve real-world problems out of the box. They don’t automatically generate revenue and growth, maximize ROI, or keep users engaged and loyal.

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

CIO Business Intelligence

NOVEMBER 1, 2024

Paul Beswick, CIO of Marsh McLennan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice. It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized.

IT 122

IT Insurance Consulting Risk 122

CIO Business Intelligence

DECEMBER 17, 2024

As CIO of Avnet one of the largest technology distributors and supply chain solution providers Im responsible for the organizations IT stack and oversee digital transformation and strategy. But after putting some discipline around it and pinpointing where we can optimize our operations, we have found a better balance.

Digital Transformation 105

Digital Transformation Data Processing Optimization Machine Learning 105

Analytics Vidhya

JUNE 1, 2023

This article explores how data analytics optimizes strategies by leveraging player performances and opposition weaknesses. Introduction Cricket embraces data analytics for strategic advantage. With franchise leagues like IPL and BBL, teams rely on statistical models and tools for competitive edge.

Predictive Modeling 291

Predictive Modeling Modeling Statistics Optimization 291

AWS Big Data

NOVEMBER 21, 2024

Amazon EMR is a cloud big data platform for petabyte-scale data processing, interactive analysis, streaming, and machine learning (ML) using open source frameworks such as Apache Spark , Presto and Trino , and Apache Flink. Under Allocation strategy , select Apply allocation strategy.

Metrics 88

Metrics Machine Learning Strategy Big Data 88

CIO Business Intelligence

DECEMBER 20, 2024

Optimize data flows for agility. Limit the times data must be moved to reduce cost, increase data freshness, and optimize enterprise agility. AI and machine learning models. They should also be optimized to share data across systems, geographies, and organizations. Application programming interfaces.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

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. Do not confuse observability with monitoring (specifically, with IT monitoring). Reference ) Splunk Enterprise 9.0 is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

CIO Business Intelligence

OCTOBER 22, 2024

Cloud strategies are undergoing a sea change of late, with CIOs becoming more intentional about making the most of multiple clouds. A lot of ‘multicloud’ strategies were not actually multicloud. Today’s strategies are increasingly multicloud by intention,” she adds.

Strategy 128

Strategy Cost-Benefit Risk Enterprise 128

CIO Business Intelligence

JANUARY 6, 2025

Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space. Its more about optimizing and maximizing the value were getting out of gen AI, she says.

IT 140

IT Cost-Benefit Measurement Experimentation 140

Cloudera

JANUARY 7, 2025

In todays dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. Adopting hybrid and multi-cloud models provides enterprises with flexibility, cost optimization, and a way to avoid vendor lock-in. Why Hybrid and Multi-Cloud?

Cost-Benefit 82

Cost-Benefit Optimization Data-driven Strategy 82

IBM Big Data Hub

MAY 20, 2024

Machine learning (ML) has become a critical component of many organizations’ digital transformation strategy. From predicting customer behavior to optimizing business processes, ML algorithms are increasingly being used to make decisions that impact business outcomes.

Machine Learning 87

Machine Learning Modeling Metadata Strategy 87

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. In retail, they can personalize recommendations and optimize marketing campaigns. These potential applications are truly transformative.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. Accordingly, the rise of master data management is becoming a key priority in the business intelligence strategy of a company. The trends we presented last year will continue to play out through 2020. Source: Business Application Research Center *.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

NOVEMBER 1, 2024

Paul Beswick, CIO of Marsh McLellan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice. It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized.

IT 105

IT Insurance Consulting Risk 105

CIO Business Intelligence

DECEMBER 5, 2024

Incorporating custom knowledge graphs, enriched with domain expertise, further optimizes data consolidation. This shift allows for enhanced context learning, prompt augmentation, and self-service data insights through conversational business intelligence tools, as well as detailed analysis via charts.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

O'Reilly on Data

SEPTEMBER 19, 2023

They’d grown tired of learning what is; now they wanted to know what’s next. Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. It felt like, almost overnight, all of machine learning took on some kind of neural backend. Those algorithms packaged with scikit-learn?

Machine Learning 341

Machine Learning Testing Modeling Cost-Benefit 341