Smart Data Collective

AUGUST 30, 2022

The market for cloud technology is booming. Enterprise cloud technology applications are the future industry standard for corporations. Here’s how enterprises use cloud technologies to achieve a competitive advantage in their essential business applications. Data streaming. Centralized data storage.

Technology 134

Technology Enterprise Cost-Benefit Testing 134

Smart Data Collective

MAY 13, 2022

With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Business insight and data analytics landscape. Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient.

Business Analytics 135

Business Analytics Analytics Unstructured Data Data-driven 135

CIO Business Intelligence

JANUARY 24, 2024

How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. It will not be something they can ignore.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Smart Data Collective

NOVEMBER 16, 2021

Text mining and text analysis are relatively recent additions to the data science world, but they already have an incredible impact on the corporate world. As businesses collect increasing amounts of often unstructured data, these techniques enable them to efficiently turn the information they store into relevant, actionable resources.

Analytics 121

Analytics Unstructured Data Data Collection Software 121

CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

FineReport

JULY 1, 2021

Business Intelligence Technologies Overview. With the advancement of technology, it is becoming easier for people to obtain a large amount of data. Therefore, the technical requirements for analyzing data are constantly increasing. BI Technology Meaning. Let us enter the topic and define what BI technology is.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. hour (Engine:1 x c5d.4xlarge).

Interactive 116

Interactive Unstructured Data Analytics Data Warehouse 116

CIO Business Intelligence

OCTOBER 30, 2023

CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. An estimated 90% of the global datasphere is comprised of unstructured data 1.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

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 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

CIO Business Intelligence

JANUARY 22, 2024

However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology. For any healthcare payer or provider, your strongest business asset will become your data and your model, especially when unstructured data becomes fully integrated.

Unstructured Data 98

Unstructured Data Digital Transformation Data Strategy Modeling 98

Analytics Vidhya

FEBRUARY 29, 2024

Introduction In the field of modern data management, two innovative technologies have appeared as game-changers: AI-language models and graph databases. AI language models, shown by new products like OpenAI’s GPT series, have changed the landscape of natural language processing.

Modeling 283

Modeling Technology Management Analytics 283

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer job description.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

David Menninger's Analyst Perspectives

MARCH 30, 2020

I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data. Here are some of the trends I see continuing to impact data architectures.

Data Architecture 244

Data Architecture Unstructured Data Data Lake Data Governance 244

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. What is Data Science? Typical tools for data science: SAS, Python, R.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

CIO Business Intelligence

AUGUST 9, 2023

What does this have to do with technology? Unstructured data needs for generative AI Generative AI architecture and storage solutions are a textbook case of “what got you here won’t get you there.” In addition, managing the data created by generative AI models is becoming a crucial aspect of the AI lifecycle.

Unstructured Data 98

Unstructured Data Modeling Data Architecture Enterprise 98

IBM Big Data Hub

NOVEMBER 29, 2023

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Stream analytics can be used to help improve the speed and accuracy of models’ predictions.

Unstructured Data 92

Unstructured Data Data-driven ROI Machine Learning 92

IBM Big Data Hub

APRIL 16, 2024

As technology expands, at TechD , we know that the quality of generative AI (gen AI) depends on accurate data sourcing. A reliable and trustworthy data source is essential for sharing information across departments. Stringent access control mechanisms regulate data access based on user roles and permissions.

Unstructured Data 88

Unstructured Data Data-driven Enterprise Technology 88

Smarten

AUGUST 23, 2023

There are some ways you can leverage AI now to improve your use of technology and the user experience for your team and/or consumers of your products and services. This approach allows you to provide summarization of data and information for queries and searches. Consider how you might use this technology in your market or industry.

Unstructured Data 52

Unstructured Data Digital Transformation Structured Data Consulting 52

CIO Business Intelligence

JANUARY 22, 2024

AI-driven technology is not just a side project anymore. According to a recent analysis by EXL, a leading data analytics and digital solutions company, healthcare organizations that embrace generative AI will dramatically lower administration costs, significantly reduce provider abrasion, and improve member satisfaction.

Cost-Benefit 105

Cost-Benefit Digital Transformation Data-driven Interactive 105

Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them. Big data should be leveraged to execute any GTM campaign. Some of these were addressed in the Data Driven Summit 2018.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

Smart Data Collective

SEPTEMBER 16, 2022

Client requests naturally grow with the development of technology. They are using big data technology to offer even bigger benefits to their fintech customers. The use of artificial intelligence technologies allows for improving the quality of service and minimizing costs. Among them are distinguished: Structured data.

Finance 118

Finance Unstructured Data Cost-Benefit Big Data 118

Smart Data Collective

SEPTEMBER 27, 2023

Big data and AI are remarkable technologies transforming the face of industries, setting a new benchmark in efficiency, accuracy, and productivity. However, like all technologies, they also come with their own set of challenges and risks. After all, data in its raw form is merely a massive collection of unprocessed information.

Big Data 107

Big Data Unstructured Data Predictive Analytics Risk 107

Jedox

OCTOBER 22, 2020

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is not new. Inability to get data quickly.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

bridgei2i

MARCH 9, 2021

How a Partnership with an AI Data Company Can Transform Your Business’s Technological Capacities. A partnership with an advanced AI data company comes with various advantages. The experts working in the Artificial Intelligence field aren’t just experts of advanced programming – they’re also masters of data science.

Technology 52

Technology Unstructured Data Insurance Sales 52

Analytics Vidhya

FEBRUARY 25, 2023

Introduction In recent years, the evolution of technology has increased tremendously, and nowadays, deep learning is widely used in many domains. This has achieved great success in many fields, like computer vision tasks and natural language processing.

Deep Learning 326

Deep Learning Machine Learning Technology Analytics 326

CIO Business Intelligence

FEBRUARY 23, 2024

The completion of such transformative EV and hydrogen fuel cell engineering — amid uncertainty about which technology will prevail as the industry standard — reflects the one constant American Honda’s VP of IT Bob Brizendine has confronted throughout his 36 years with the company: an ever-changing, winding road that never slows down. “We

IT 122

IT Manufacturing Unstructured Data Strategy 122

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. . The key factor for the prosperity of the Hotel is service, online reviews & experience, using the information technology organizations are capturing the data to develop the latest techniques using data analytics to survive the competition.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

CIO Business Intelligence

FEBRUARY 16, 2023

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

CIO Business Intelligence

JUNE 7, 2022

Even before the pandemic, the financial services industry was being disrupted by fintech companies with mobile applications and technologies like Blockchain and cryptocurrency. NLP solutions can be used to analyze the mountains of structured and unstructured data within companies. Intel® Technologies Move Analytics Forward.

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

Smarten

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Business Intelligence. Dashboards. Cross-Tab Reporting.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Cloudera

MARCH 17, 2023

I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics. ChatGPT is an excellent resource for gaining high-level insights and building awareness of any technology.

Unstructured Data 60

Unstructured Data Data Lake Data Warehouse Machine Learning 60

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Text, images, audio, and videos are common examples of unstructured data.

Unstructured Data 117

Unstructured Data Metadata Management Analytics 117

CIO Business Intelligence

NOVEMBER 20, 2023

As a technology professional, seeing how artificial intelligence (AI) and generative AI/large language models can improve and save lives makes me think about the significant difference this can have on families and communities worldwide–including mine. Fox says it perfectly: “Family is not an important thing. It’s everything.”

Cost-Benefit 132

Cost-Benefit Unstructured Data Modeling Structured Data 132

CIO Business Intelligence

NOVEMBER 28, 2023

With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Unstructured data resources can be extremely valuable for gaining business insights and solving problems.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

Timo Elliott

JANUARY 3, 2022

Just like dark matter in astrophysics, this unexplored data can’t be observed directly by standard analytics tools, and so has been largely wasted. So how can organizations find data in their own universes? Every data point stored has potential value. This is where new technologies and new opportunities come into play.

IT 143

IT Unstructured Data Data Quality Machine Learning 143

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Communication and political savvy: Data architects need people skills.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132