Smart Data Collective

SEPTEMBER 16, 2022

The market was worth over $112 billion last year. While the market is growing and creating more opportunities for fintech entrepreneurs, the stakes are also higher than ever. Cost optimization. Speaking of global fintech trends, one cannot fail to mention Big Data. Among them are distinguished: Structured data.

Finance 118

Finance Unstructured Data Cost-Benefit Big Data 118

Data Virtualization

MAY 26, 2021

Data is becoming increasingly important for understanding markets and customer behaviors, optimizing operations, deriving foresights, and gaining a competitive advantage. Over the last decade, the explosion of structured and unstructured data as well as digital technologies in general, has enabled.

Unstructured Data 80

Unstructured Data Optimization Marketing Technology 80

Smart Data Collective

JUNE 7, 2019

Data, for instance, has to be processed fast so that the companies can keep up to the changing business and market conditions in real time. This is where real-time stream processing enters the picture, and it may probably change everything you know about big data. What is Big Data? What is Big Data?

Big Data 81

Big Data Marketing Cost-Benefit Unstructured Data 81

CIO Business Intelligence

SEPTEMBER 7, 2023

First, there is the need to properly handle the critical data that fuels defense decisions and enables data-driven generative AI. Organizations need novel storage capabilities to handle the massive, real-time, unstructured data required to build, train and use generative AI. billion by 2032.

Unstructured Data 119

Unstructured Data Cost-Benefit Risk Data-driven 119

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

CIO Business Intelligence

MAY 9, 2024

In today’s data-driven world, the ability to seamlessly integrate structured and unstructured data in a hybrid cloud environment is critical for organizations seeking to harness the full potential of their data assets.

Digital Transformation 52

Digital Transformation Data Integration Unstructured Data Data-driven 52

Ontotext

MARCH 20, 2024

As Dan Vesset, group vice president at IDC, stated, “People spend 60% to 80% of their time trying to find data. ” Zenia Graph ‘s Salesforce Accelerator empowers your sales and marketing teams to overcome this challenge and unlock their true potential. It’s a huge productivity loss.”

Data-driven 52

Data-driven Strategy Sales Data Integration 52

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

IBM Big Data Hub

OCTOBER 30, 2023

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations.

Insurance 86

Insurance Data Warehouse Data-driven Unstructured Data 86

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 106

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 106

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 115

Interactive Unstructured Data Analytics Data Warehouse 115

CIO Business Intelligence

OCTOBER 11, 2023

According to market researchers at Gartner 1 , “Utilities are faced with unprecedented challenges.” ResearchandMarkets 1 estimates that the energy and power market spent 3.103 billion USD on AI in 2021. As a result, utilities can improve uptime for their customers while optimizing operations to keep costs low.

Unstructured Data 137

Unstructured Data Uncertainty Risk Data Processing 137

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

JUNE 6, 2023

All this has a tremendous impact on the digital value chain and the semiconductor hardware market that cannot be overlooked. The apps and tools have to gather, process and deliver back data to the consumer with minimal latency. Solid-state drives (SSDs) and non-volatile memory express (NVMe) enable faster data access and processing.

Manufacturing 98

Manufacturing Unstructured Data Optimization Software 98

CIO Business Intelligence

JUNE 7, 2022

While each firm’s situation and market challenges may be unique, a majority see AI as a vital tool they can’t afford to ignore. billion of global investments in AI by 2026, according to Markets and Markets. NLP solutions can be used to analyze the mountains of structured and unstructured data within companies.

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

CIO Business Intelligence

NOVEMBER 1, 2023

It will be optimized for development in Java and JavaScript, although it’ll also interoperate with SAP’s proprietary ABAP cloud development model, and will use SAP’s Joule AI assistant as a coding copilot. Those initiatives will be made available to users of the new SAP Build Code, among other tools.

Enterprise 132

Enterprise Cost-Benefit Unstructured Data Software 132

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. We use the models to create individual twins of assets which contain all the historical information accessible for current and future operation.

Unstructured Data 80

Unstructured Data Consulting Visualization IoT 80

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 120

Analytics Unstructured Data Data Collection Software 120

CIO Business Intelligence

APRIL 25, 2022

While the streaming quality of service, as the name suggests, analyzes both streaming and batch data to ensure optimum, tailored content is delivered to users, the gaming-specific service uses natural language processing for real-time detection of toxic language to ensure an optimal gaming experience for users.

Recreation/Entertainment 120

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 120

CDW Research Hub

MARCH 12, 2021

For organizations trying to get a better handle on their data so they can see how it affects their business outcomes, the digital age has accelerated the need for modernizing the data centers. IT is constantly under immense pressure to improve, scale, consolidate, and optimize applications to meet the needs of their end-users.

Unstructured Data 52

Unstructured Data Internet of Things IoT Optimization 52

Smart Data Collective

SEPTEMBER 23, 2020

The market for data warehouses is booming. One study forecasts that the market will be worth $23.8 While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Many stock market transactions use ML with decades of stock market data to forecast trends and ultimately suggest whether and when to buy or sell.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

CIO Business Intelligence

DECEMBER 19, 2023

It has emerged as a transformative force in managing bond investment risks by automating and optimizing complex analytical tasks. Gen AI models can sift through vast quantities of unstructured data related to bonds, identify critical information, and compare it against risk parameters. “It

Risk 52

Risk Cost-Benefit Unstructured Data Data-driven 52

Smart Data Collective

MARCH 30, 2021

A data-driven approach allows companies of any scale to develop SEO and marketing strategies based not on the opinion of individual marketers but on real statistics. Data-driven SEO and marketing activities leave no space for bad shots. The results obtained often came as surprises for the marketers themselves.

Data-driven 92

Data-driven Sales Big Data Marketing 92

CIO Business Intelligence

DECEMBER 11, 2023

How to get started with generative AI in healthcare Ever since generative AI exploded into the market, EXL has been working with clients across industries to scale enterprise-wide initiatives. Other options include using generative AI to support clinical summarization work, referral management, or to optimize your supply chain.

Unstructured Data 76

Unstructured Data Interactive Data-driven Consulting 76

Ontotext

JANUARY 29, 2024

The generative AI buzz and interest in cloud migration shouldn’t be ignored, but as with any technology that requires data strategy, it’s critical that data and analytics professionals be crystal clear about their priorities and confident in the projects that will positively impact their business and goals.

Strategy 52

Strategy Management Metadata Data-driven 52

erwin

JANUARY 9, 2020

They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. erwin Data Modeler: Where the Magic Happens. CCPA vs. GDPR: Key Differences.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. Banks are driving initiatives forward in areas of targeted marketing, customer retention and proactive customer care.

Unstructured Data 72

Unstructured Data Data-driven Machine Learning Digital Transformation 72

Smart Data Collective

APRIL 5, 2021

Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data? Big data can be defined as the large volume of structured or unstructured data that requires processing and analytics beyond traditional methods.

Big Data 108

Big Data IT Data-driven Sales 108

Smart Data Collective

APRIL 5, 2022

Although SageMaker has become a popular hardware accelerator since it was launched in 2017, there are plenty of other overlooked hardware accelerators on the market. If you want to streamline various parts of the data science development process, then you should be aware of all of your options. However, it does have some downsides.

Cost-Benefit 123

Cost-Benefit Machine Learning Data Science Unstructured Data 123

Cloudera

NOVEMBER 10, 2020

The four main pillars of our SQL Tool Design Philosophy consists of: Find and understand data – with confidence. Optimize and troubleshoot – with intelligence. Intelligent Data Navigation and Discovery. Optimization as you go. Get started using HUE in a Cloudera Data Platform Private Cloud 60-day trial. .

Visualization 111

Visualization Optimization Unstructured Data Dashboards 111

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. Events or time-series data served by our real-time events or time-series data store solutions.

Experimentation 83

Experimentation Data Warehouse Dashboards Visualization 83

Ontotext

DECEMBER 1, 2023

The rise of knowledge graphs that power marketing and sales processes Call me biased, but I see tangible progress for knowledge graphs powering marketing and sales. It aims to bring tangible benefits to sales and marketing operations, locate new and relevant customer accounts, and save time and resources.

Metadata 78

Metadata Sales Consulting Enterprise 78

bridgei2i

MAY 17, 2021

The global AI in the Fintech market was estimated at USD 7.91 It helps to legitimize a new customer applying for credit, select the right credit product, and optimize a credit check. As AI helps forecast the stock prices in the trading domain, it is one of the most powerful tools in the stock market. billion by 2026.

Finance 52

Finance Risk Management Unstructured Data Cost-Benefit 52

CIO Business Intelligence

SEPTEMBER 2, 2022

The average salary for a full stack software engineer is $115,818 per year, with a reported salary range of $85,000 to $171,000 per year, according to data from Glassdoor. The average salary for a data engineer is $118,915 per year, with a reported salary range of $87,000 to $177,000 per year, according to data from Glassdoor.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The average salary for a full stack software engineer is $115,818 per year, with a reported salary range of $85,000 to $171,000 per year, according to data from Glassdoor. The average salary for a data engineer is $118,915 per year, with a reported salary range of $87,000 to $177,000 per year, according to data from Glassdoor.

Finance 98

Finance IT Software Reporting 98