Smart Data Collective

JUNE 10, 2022

The average data scientist earns over $108,000 a year. The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications.

Data Science 119

Data Science Machine Learning Statistics Business Intelligence 119

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 139

Digital Transformation Unstructured Data Machine Learning Risk Management 139

CIO Business Intelligence

MARCH 21, 2022

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. Data scientist job description. Semi-structured data falls between the two.

Unstructured Data 132

Unstructured Data Data Analytics Analytics Structured Data 132

Smart Data Collective

OCTOBER 27, 2021

The application presents a massive volume of unstructured data through a graphical or programming interface using the analytical abilities of business intelligence technology to provide instant insight. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights.

Interactive 113

Interactive Unstructured Data Analytics Data Warehouse 113

CIO Business Intelligence

MAY 24, 2022

The new, industry-targeted data management platforms — Intelligent Data Management Cloud for Health and Life Sciences and the Intelligent Data Management Cloud for Financial Services — were announced at the company’s Informatica World conference Tuesday.

Finance 130

Finance Management Metadata Data Quality 130

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

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 290

Data Architecture Unstructured Data Data Lake Data Governance 290

CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. This will push data into repositories best ingested by AI models. The rest are on premises.

Data Lake 114

Data Lake Machine Learning Data Warehouse Unstructured Data 114

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Tableau: Now owned by Salesforce, Tableau is a data visualization tool.

Data Science 137

Data Science Statistics Machine Learning Visualization 137

CIO Business Intelligence

MAY 8, 2024

The IT team plans to further enhance the application using the XGBoost machine learning software library for forecasting medication use in covered populations. Insurance companies can use AI to summarize long medical charts, to classify documents, and to find patterns in unstructured data, he says.

IT 92

IT Cost-Benefit Insurance Unstructured Data 92

datapine

AUGUST 14, 2019

Geet our bite-sized free summary and start building your data skills! What Is A Data Science Tool? In the past, data scientists had to rely on powerful computers to manage large volumes of data. Geet our bite-sized free summary and start building your data skills! Source: RStudio. BI Tools And Applications.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

JULY 23, 2023

More than 60% of corporate data is unstructured, according to AIIM , and a significant amount of this unstructured data is in the form of non-traditional “records,” like text and social media messages, audio files, video, and images.

Data Governance 84

Data Governance Unstructured Data Cost-Benefit Machine Learning 84

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The company’s Findability.ai

Unstructured Data 102

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 102

CIO Business Intelligence

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning.

Unstructured Data 138

Unstructured Data Modeling Machine Learning Data mining 138

CIO Business Intelligence

DECEMBER 14, 2023

AI and machine learning (ML) can do this by automating the design cycle to improve efficiency and output; AI can analyze previous designs, generate novel design ideas, and test prototypes, assisting engineers with rapid, agile design practices. Artificial Intelligence

Manufacturing 129

Manufacturing Cost-Benefit Unstructured Data Optimization 129

CIO Business Intelligence

JULY 26, 2023

The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. And the crew is using AWS SageMaker machine learning (ML) to give its agents the best local leads and prospective buyers.

Data Lake 93

Data Lake Digital Transformation Machine Learning Data Architecture 93

CIO Business Intelligence

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

Data Integration 59

Data Integration IoT Cost-Benefit Data Quality 59

Smarten

JUNE 10, 2022

Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Your senior execs and managers want to leverage data and information to gain a competitive advantage and succeed. Business Intelligence. Dashboards. Real Time and Cached Cube Management.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

CIO Business Intelligence

FEBRUARY 23, 2024

Generative AI takes a front seat As for that AI strategy, American Honda’s deep experience with machine learning positions it well to capitalize on the next wave: generative AI. The key to a successful AI strategy, in part, is the quality and cleanliness of both structured and unstructured data, he says.

IT 122

IT Manufacturing Unstructured Data Strategy 122

CIO Business Intelligence

OCTOBER 3, 2023

Robotic process automation (RPA) is a well-established means of automating repetitive business processes implemented in software. However since then great strides have been made in machine learning and artificial intelligence. Another research company, Mordor Intelligence, is forecasting annual CAGR of 19.8

Cost-Benefit 108

Cost-Benefit Machine Learning Interactive Software 108

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

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 122

Unstructured Data Data-driven Visualization Data Quality 122

Sisense

JANUARY 22, 2021

A well-structured fintech algorithm could easily use machine learning (ML) to advise a human agent to approve or reject a business loan application. That advice is a quintessential actionable insight: The algorithm models the applicant’s probability of success by training on a mountain of historical data and market factors.

Machine Learning 52

Machine Learning Unstructured Data Forecasting Advertising 52

AWS Big Data

AUGUST 15, 2023

Some examples include AWS data analytics services such as AWS Glue for data integration, Amazon QuickSight for business intelligence (BI), as well as third-party software and services from AWS Marketplace. We create an S3 bucket to store data that exceeds the Lambda function’s response size limits.

Recreation/Entertainment 85

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 85

CIO Business Intelligence

DECEMBER 11, 2023

™ , an AI-powered intelligent document processing solution for back-office operations that uses machine learning, natural language processing, and computer vision. Focus on an administrative operation that is expensive, currently relies on heavy manual activity, and is hindered by a large amount of unstructured data.

Unstructured Data 75

Unstructured Data Interactive Data-driven Consulting 75

CIO Business Intelligence

JULY 10, 2023

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.

Data Warehouse 86

Data Warehouse Cost-Benefit Unstructured Data Machine Learning 86

CIO Business Intelligence

JUNE 7, 2022

But only in recent years, with the growth of the web, cloud computing, hyperscale data centers, machine learning, neural networks, deep learning, and powerful servers with blazing fast processors, has it been possible for NLP algorithms to thrive in business environments. NLP will account for $35.1

Unstructured Data 84

Unstructured Data Deep Learning Insurance Interactive 84

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

CIO Business Intelligence

OCTOBER 13, 2023

Information/data governance architect: These individuals establish and enforce data governance policies and procedures. Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data Architecture 126

Data Architecture Data Warehouse Statistics Visualization 126

CIO Business Intelligence

APRIL 25, 2022

While the partnership with AWS is focused on providing more data and analytics capabilities for the M&E sector, the Cognizant partnership is aimed at maintaining video quality for customers. The joint solution with Labelbox is targeted toward media companies and is expected to help firms derive more value out of unstructured data.

Recreation/Entertainment 109

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 109

CIO Business Intelligence

JUNE 6, 2023

Memory and storage The vast amount of data generated by AI workloads requires high-capacity storage solutions that can handle both structured and unstructured data. Solid-state drives (SSDs) and non-volatile memory express (NVMe) enable faster data access and processing. Artificial Intelligence, Machine Learning

Manufacturing 80

Manufacturing Unstructured Data Optimization Software 80

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

Jedox

OCTOBER 22, 2020

In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are responsible for developing, testing, and maintaining data pipelines and data architectures. Data scientists use data science to discover insights from massive amounts of structured and unstructured data to shape or meet specific business needs and goals.

Analytics 121

Analytics Data Science Statistics Unstructured Data 121

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. displaying BI insights for human users).

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Sisense

OCTOBER 6, 2020

These programs and systems are great at generating basic visualizations like graphs and charts from static data. The challenge comes when the data becomes huge and fast-changing. Why is quantitative data important? These numbers show performance, efficiency, reach, market share, revenue in, and expenses out.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

SEPTEMBER 2, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Business analyst.

Finance 98

Finance IT Software Reporting 98