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 126

Big Data Data Analytics Analytics Predictive Modeling 126

Smart Data Collective

NOVEMBER 19, 2023

Data analytics technology has helped change the future of modern business. The ecommerce sector is among those most affected by advances in analytics. We have previously pointed out that a number of ecommerce sites are using data analytics to optimize their business models.

Data Analytics 115

Data Analytics Analytics Analytics Technologies Marketing 115

Analytics Vidhya

SEPTEMBER 18, 2023

Each company hires the best tech experts to work with different algorithms and models with respect to data analytics, machine learning, artificial intelligence and so on. USA is the hub of advanced technologies, leading to the presence of increasing trends of competition.

Data Science 336

Data Science Machine Learning Technology Modeling 336

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc.,

Data Science 336

Data Science Data mining Machine Learning Publishing 336

Smart Data Collective

OCTOBER 8, 2023

In such a murky pool, the application of data analytics emerges as an invaluable tool. This article delves into the profound impact data analytics can have on fast food legal cases. In the realm of legal affairs, data analytics can serve as a strategic ally.

Data Analytics 125

Data Analytics Analytics Statistics Data Collection 125

TDAN

SEPTEMBER 5, 2023

Understanding your data may unearth hidden insights and move your business ahead, whether you’re a small startup or an established enterprise. However, going on the road of data analytics may […]

Data Analytics 128

Data Analytics Analytics Enterprise Data Quality 128

Timo Elliott

DECEMBER 9, 2024

At UKISUG Connect 2024, Tushir Parekh, Data Analytics Manager at Harrods, gave an overview of Harrods’ Data Analytics Journey. Parekh walked us through the highs and lows of overhauling the analytics landscape of one of the worlds most iconic luxury brands.

Data Analytics 52

Data Analytics Analytics Reporting Data Quality 52

David Menninger's Analyst Perspectives

OCTOBER 5, 2021

Alteryx is a data analytics software company that offers data preparation and analytics tools to simplify and automate data wrangling, data cleaning and modeling processes, enabling line-of-business personnel to quickly access, manipulate, analyze and output data.

Analytics 288

Analytics Data Warehouse Software Modeling 288

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration .

Testing 300

Testing Machine Learning Consulting Data Science 300

CIO Business Intelligence

APRIL 26, 2024

Once completed within two years, the platform, OneTru, will give TransUnion and its customers access to TransUnion’s behemoth trove of consumer data to fuel next-generation analytical services, machine learning models and generative AI applications, says Achanta, who is driving the effort, and held similar posts at Neustar and Walmart.

Modeling 114

Modeling IT Machine Learning Data Governance 114

AWS Big Data

JANUARY 15, 2025

In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications. This approach supports both the immediate needs of visualization tools such as Tableau and the long-term demands of digital twin and IoT data analytics.

IoT 110

IoT Machine Learning Metadata Data-driven 110

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Cloudera

MARCH 6, 2024

As we enter into a new month, the Cloudera team is getting ready to head off to the Gartner Data & Analytics Summit in Orlando, Florida for one of the most important events of the year for Chief Data Analytics Officers (CDAOs) and the field of data and analytics.

Data Analytics 109

Data Analytics Analytics Snapshot Data Processing 109

CIO Business Intelligence

NOVEMBER 4, 2024

Over the next one to three years, 84% of businesses plan to increase investments in their data science and engineering teams, with a focus on generative AI, prompt engineering (45%), and data science/data analytics (44%), identified as the top areas requiring more AI expertise. Cost, by comparison, ranks a distant 10th.

Marketing 128

Marketing Data Quality Data Governance Digital Transformation 128

CIO Business Intelligence

NOVEMBER 11, 2024

Saudi Arabia has announced a 100 billion USD initiative aimed at establishing itself as a major player in artificial intelligence, data analytics, and advanced technology. Saudi Arabia’s AI strategy aligns with the broader goals of Vision 2030, which emphasize economic diversification through technological and digital innovation.

Manufacturing 128

Manufacturing Technology Modeling Strategy 128

CIO Business Intelligence

DECEMBER 10, 2024

Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. The software is used for data analytics, importing data, manipulating data, data modeling, and building data visualizations and reports.

Enterprise 135

Enterprise IT Machine Learning Visualization 135

O'Reilly on Data

MARCH 31, 2020

Instead of writing code with hard-coded algorithms and rules that always behave in a predictable manner, ML engineers collect a large number of examples of input and output pairs and use them as training data for their models. The model is produced by code, but it isn’t code; it’s an artifact of the code and the training data.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

JANUARY 30, 2025

The growth of edge computing The proliferation of IoT devices has generated demand for processing power and data analytics capabilities as close as possible to where that data is created. Or should they keep AI workloads in-house out of concern over security, data privacy, regulations, latency, and other important factors.

Enterprise 129

Enterprise Data Processing Forecasting IoT 129

AWS Big Data

DECEMBER 17, 2024

Seamless Lakehouse architectures Lakehouse brings together flexibility and openness of data lakes with the performance and transactional capabilities of data warehouses. Lakehouse allows you to use preferred analytics engines and AI models of your choice with consistent governance across all your data.

Data Lake 95

Data Lake Data Warehouse Data-driven Optimization 95

O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Machine Learning model lifecycle management.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

AWS Big Data

NOVEMBER 22, 2024

At AWS, we are committed to empowering organizations with tools that streamline data analytics and transformation processes. This integration enables data teams to efficiently transform and manage data using Athena with dbt Cloud’s robust features, enhancing the overall data workflow experience.

Data Lake 99

Data Lake Data Warehouse Cost-Benefit Data Transformation 99

Corinium

JUNE 5, 2020

In episode 14 we talk to Eugene Wessels about how data analytics is at the foundation over King Price Insurance's operating model.

Insurance 195

Insurance Modeling Data Analytics Analytics 195

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. Traditionally, software as a service companies have built their business models based on flexible pricing structures. 6) Micro-SaaS.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

CIO Business Intelligence

JANUARY 21, 2025

Even simple use cases had exceptions requiring business process outsourcing (BPO) or internal data processing teams to manage. With traditional OCR and AI models, you might get 60% straight-through processing, 70% if youre lucky, but now generative AI solves all of the edge cases, and your processing rates go up to 99%, Beckley says.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

AWS Big Data

NOVEMBER 27, 2024

The Zero-ETL integration between Aurora MySQL and Amazon Redshift is set up by using a CloudFormation template to replicate raw ticket sales information to a Redshift data warehouse. These insights help analysts make data-driven decisions to improve promotions and user engagement. Create dbt models in dbt Cloud.

Data Warehouse 107

Data Warehouse Analytics Testing Modeling 107

AWS Big Data

MARCH 13, 2025

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. Governance features including fine-grained access control are built into SageMaker Unified Studio using Amazon SageMaker Catalog to help you meet enterprise security requirements across your entire data estate.

Analytics 86

Analytics Data Lake Data Warehouse Data-driven 86

Analytics Vidhya

FEBRUARY 2, 2023

Introduction Big data processing is crucial today. Big data analytics and learning help corporations foresee client demands, provide useful recommendations, and more. Hadoop, the Open-Source Software Framework for scalable and scattered computation of massive data sets, makes it easy.

Big Data 306

Big Data Software Data Processing Data Analytics 306

CIO Business Intelligence

JANUARY 30, 2025

While there is a lot of effort and content that is now available, it tends to be at a higher level which will require work to be done to create a governance model specifically for your organization. Gartner surveyed IT and Data Analytics leaders and found that only 46% had an AI governance framework implemented.

Testing 93

Testing Metrics Cost-Benefit Modeling 93

Analytics Vidhya

MAY 22, 2023

A recent survey on Generative AI conducted by Accenture shows that Fortune 500 CEOs still focus on earlier generations of technology, such as predictive AI or robotic process automation, rather than generative AI, computer models that create text, images, and computer code.

Technology 290

Technology Modeling Analytics Business Analytics 290

DataKitchen

APRIL 28, 2021

In Figure 1, the nodes could be sources of data, storage, internal/external applications, users – anything that accesses or relates to data. Data fabrics provide reusable services that span data integration, access, transformation, modeling, visualization, governance, and delivery.

Statistics 246

Statistics Optimization Data Analytics Technology 246

O'Reilly on Data

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Graph technologies and analytics. Foundational data technologies. Data Platforms.

Big Data 271

Big Data Technology Machine Learning Deep Learning 271

Cloudera

JANUARY 7, 2025

As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Heres a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives. The terms hybrid and multi-cloud are often used interchangeably.

Cost-Benefit 82

Cost-Benefit Optimization Strategy Data-driven 82

DataKitchen

NOVEMBER 29, 2021

In 2022, data organizations will institute robust automated processes around their AI systems to make them more accountable to stakeholders. Model developers will test for AI bias as part of their pre-deployment testing. Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245