CIO Business Intelligence

OCTOBER 30, 2023

The key is to make data actionable for AI by implementing a comprehensive data management strategy. That’s because data is often siloed across on-premises, multiple clouds, and at the edge. Getting the right and optimal responses out of GenAI models requires fine-tuning with industry and company-specific data.

Unstructured Data 135

Unstructured Data Optimization Data-driven Strategy 135

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Practice proper data hygiene across interfaces.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Smart Data Collective

MAY 13, 2022

In addition, several enterprises are using AI-enabled programs to get business analytics insights from volumes of complex data coming from various sources. AI is undoubtedly a gamechanger for business intelligence. As unstructured data comes from different sources and is stored in various locations.

Business Analytics 134

Business Analytics Analytics Unstructured Data Data-driven 134

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 137

Digital Transformation Unstructured Data Machine Learning Risk Management 137

CIO Business Intelligence

AUGUST 1, 2023

As many CIOs prepare their 2024 budgets and digital transformation priorities, developing a strategy that seeks opportunities to evolve business models, targets near-term operational impacts, prioritizes where employees should experiment, and defines AI-related risk-mitigating plans is imperative.

Digital Transformation 96

Digital Transformation Unstructured Data Strategy Experimentation 96

Smart Data Collective

NOVEMBER 20, 2022

Proper marketing and sales prospects play a huge role in improving the success rate of your business. The strategy can either be offline or digital. However, digital marketing has become the major focus of marketers across all industries, mainly due to how customers interact and engage with modern businesses. Enter Big Data.

Big Data 134

Big Data Sales Marketing B2B 134

CIO Business Intelligence

APRIL 24, 2024

Finally, the flow of AMA reports and activities generates a lot of data for the SAP system, and to be more effective, we’ll start managing it with data and business intelligence.” The goal is to correlate all types of data that affect assets and bring it all into the digital twin to take timely action,” says D’Accolti.

Digital Transformation 89

Digital Transformation Business Intelligence Unstructured Data Data Lake 89

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. What is a Data Governance Strategy?

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

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 129

Unstructured Data Data Analytics Analytics Structured Data 129

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

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 95

Data Lake Unstructured Data Data Warehouse Data Quality 95

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 120

IT Manufacturing Unstructured Data Strategy 120

CIO Business Intelligence

JUNE 23, 2023

Artificial intelligence (AI) is the analytics vehicle that extracts data’s tremendous value and translates it into actionable, usable insights. In my role at Dell Technologies, I strive to help organizations advance the use of data, especially unstructured data, by democratizing the at-scale deployment of artificial intelligence (AI).

Unstructured Data 80

Unstructured Data Cost-Benefit Data-driven Data Architecture 80

CIO Business Intelligence

JUNE 19, 2023

But to thrive in the “intelligence era”, Mr. Cao said financial institutions need to reconsider their entire digital strategy, encompassing their approach to connections, data, applications, and infrastructure, in order to strengthen their core competitiveness. Mr. Cao noted the specific problem of unstructured data. “A

Finance 91

Finance Unstructured Data Data Processing Data Architecture 91

CIO Business Intelligence

JANUARY 22, 2024

Payers and providers will need to create a data foundation that addresses elements such as bringing in the right data, how to classify it, and how to create a data lineage so data sources can be tracked to address potential AI hallucinations. The need for generative AI data management may seem daunting.

Unstructured Data 79

Unstructured Data Digital Transformation Data Strategy Modeling 79

Smarten

AUGUST 23, 2023

If you are looking for ways to get started on your AI journey and take advantage of the current capabilities of this technology, here are a few ideas to get you started with AI: Unstructured Data : – Use artificial intelligence and GPT to summarize PDFs, HTML and other unstructured documents and data.

Unstructured Data 52

Unstructured Data Digital Transformation Structured Data Consulting 52

CIO Business Intelligence

JANUARY 20, 2023

Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security.

Analytics 123

Analytics Key Performance Indicator Unstructured Data IoT 123

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. But being an inquisitive Sherlock Holmes of data is no easy task. Geet our bite-sized free summary and start building your data skills! What Is A Data Science Tool?

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

JUNE 15, 2023

But to thrive in the “intelligence era”, Mr Cao said financial institutions need to reconsider their entire digital strategy, encompassing their approach to connections, data, applications, and infrastructure, in order to strengthen their core competitiveness. Mr. Cao noted the specific problem of unstructured data. “A

Unstructured Data 76

Unstructured Data Finance Data Processing Data Architecture 76

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 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

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. It’s a powerful strategy.” So too is keeping your options open. That’s really valuable.”

Data Lake 110

Data Lake Machine Learning Data Warehouse Unstructured Data 110

CIO Business Intelligence

OCTOBER 23, 2023

While such tools remain critical for corporations, they’re also relatively flat and robotic compared to GenAI technologies, whose sweet spot is understanding natural language prompts to generate contextually relevant information from unstructured data. How is your AI strategy shaping up? 2023 Artificial Intelligence

Sales 121

Sales Unstructured Data Interactive Marketing 121

datapine

JUNE 9, 2022

Data monitoring has been changing the business landscape for years now. That said, it hasn’t always been that easy for businesses to manage the huge amounts of unstructured data coming from various sources. One of the greatest innovations in the business intelligence and analytics industry.

Dashboards 143

Dashboards Metrics Visualization Sales 143

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 98

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 98

CIO Business Intelligence

AUGUST 18, 2022

Enter the data lakehouse. Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). Under Guadagno, the Deerfield, Ill.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Business Intelligence 139

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 128

Analytics Data Science Unstructured Data Data mining 128

CIO Business Intelligence

AUGUST 9, 2023

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.” As a quick fix, many organizations adopted cloud-first strategies to manage their data storage requirements. But more data means more data movement.

Unstructured Data 83

Unstructured Data Modeling Data Architecture Enterprise 83

CIO Business Intelligence

FEBRUARY 10, 2023

Deploying new data types for machine learning Mai-Lan Tomsen-Bukovec, vice president of foundational data services at AWS, sees the cloud giant’s enterprise customers deploying more unstructured data, as well as wider varieties of data sets, to inform the accuracy and training of ML models of late.

Unstructured Data 104

Unstructured Data Data Lake Machine Learning Enterprise 104

CIO Business Intelligence

JUNE 5, 2023

By emulating these actions previously taken by humans, RPA bots help automate business processes, reducing errors and freeing up workers for higher-level tasks. The solution has aided in improving Merck’s go-to market strategy as the commercial team was able to release the block orders on a timely basis. The initiative began in 2021.

Unstructured Data 75

Unstructured Data Sales Digital Transformation Strategy 75

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

datapine

JUNE 5, 2019

Enter data dashboards – one of history’s best innovations in business intelligence. To help you understand this notion in full, we’re going to explore a data dashboard definition, explain the power of dashboard data, and explore a selection of data dashboard examples. Legacy Data Solutions.

Dashboards 316

Dashboards KPI Sales Visualization 316

erwin

JANUARY 17, 2020

Companies that want to advance artificial intelligence (AI) initiatives, for instance, won’t get very far without quality data and well-defined data models. With the right approach, data modeling promotes greater cohesion and success in organizations’ data strategies. Data Modeling Best Practices.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

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

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 136

Unstructured Data Modeling Machine Learning Data mining 136

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 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

CIO Business Intelligence

SEPTEMBER 13, 2023

Hardly surprising when you consider the data economy is projected to deliver more than €829b and nearly 11m jobs to the region by 2025. Capitalising on and nurturing numbers of that scale are precisely what is behind evolving EU strategies and regulations coming into play.

IT 87

IT Unstructured Data Uncertainty Strategy 87

BizAcuity

APRIL 14, 2022

Netflix uses big data to make decisions on new productions, casting and marketing and generate millions in revenue through successful and strategic bets. Data Management. Before building a big data ecosystem, the goals of the organization and the data strategy should be very clear. Unstructured Data Management.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52