Cloudera

JANUARY 5, 2021

In today’s retail environment, retailers realize that building demand forecasts simply based upon historical transaction, promo, and pricing data alone is not good enough. Data today has a shelf life much like produce and needs to be updated in real-time to be relevant. Including new data sources like demand signals (e.g.

Forecasting 90

Forecasting Cost-Benefit Sales Unstructured Data 90

CIO Business Intelligence

OCTOBER 11, 2023

AI also forecasts demand so that energy companies can plan their modernization and expansion efforts. As a result, utilities can improve uptime for their customers while optimizing operations to keep costs low. Read about unstructured data storage solutions and find out how they can enable AI technology.

Unstructured Data 137

Unstructured Data Uncertainty Risk Data Processing 137

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

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. See what’s ahead AI can assist with forecasting.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. The retailer uses these insights to optimize inventory levels, reduce costs and enhance efficiency.

Insurance 86

Insurance Data Warehouse Data-driven Unstructured Data 86

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 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

CIO Business Intelligence

JUNE 7, 2022

In business, when a trend is forecast to grow by more than 3000% and generate cost savings of $7.3 NLP solutions can be used to analyze the mountains of structured and unstructured data within companies. Data analytics is the key to unlocking the most value you can extract from data across your organization.

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

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

Sisense

JANUARY 22, 2021

Implicit among assumptions about machine learning is that algorithms will identify a pattern or outcome in time-series data, for example, which human beings could not do in practical time. Therefore, let’s see how ML models in asset management and optimal portfolio trading produce actionable insights.

Machine Learning 52

Machine Learning Unstructured Data Forecasting Advertising 52

bridgei2i

MAY 17, 2021

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. AI And Credit Decisions. AI And Process Automation.

Finance 52

Finance Risk Management Unstructured Data Cost-Benefit 52

Smart Data Collective

NOVEMBER 20, 2022

Improves data management and productivity. Cloud technology can store copious amounts of structured or unstructured data and has no limit. With video calling and voice calling facilities, teams can work together to sort the data. Cloud computing technology is highly flexible; it can cater to businesses of all sizes.

Technology 120

Technology Unstructured Data Strategy Cost-Benefit 120

Smarten

JUNE 10, 2022

Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Predictive Modeling to support business needs, forecast, and test theories. A BI tool is crucial for business users to monitor and present data. Dashboards.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

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. This is one of the most prominent data science visualization tools offered both for open-source and commercial use.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

Sisense

MARCH 14, 2021

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

datapine

JUNE 5, 2019

Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. With such dashboards, users can also customize settings, functionality, and KPIs to optimize their dashboards to suit their specific needs.

Dashboards 316

Dashboards KPI Sales Visualization 316

Smart Data Collective

NOVEMBER 25, 2019

Predictive analytics is the use of data and AI-powered algorithms to help analysts forecast the future and better predict business outcomes. NLP may also improve data collection by enabling AI to scan through and organize text-heavy, unstructured data. Natural Language Processing and Report Generation.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

IBM Big Data Hub

JULY 6, 2023

One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time. The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

bridgei2i

APRIL 23, 2020

Better Forecasting and Optimization. They also have to assess loss forecasting and reserving based on new data sources. By deploying accelerators like Watchtower banks can understand rapidly changing KPIs and anomalies when forecasts are failing. Learn MORE.

Risk 52

Risk Management Scorecard Forecasting 52

Jedox

FEBRUARY 13, 2019

These new tools will support ad-hoc reporting that can leverage unstructured data. Our technology will be automated tools, with guided interactivity and machine learning (ML) capabilities and cognitive tools with predictive and proscriptive insights.

IT 53

IT Finance Cost-Benefit Unstructured Data 53

Rita Sallam

JULY 22, 2016

Q2: Would you consider Sisense better than others in handling big and unstructured data? Not sure about that, but Sisense is well suited for easily harmonizing, combining and modeling many different, complex and large data sets for fast interactive analysis. Answer: Better than every other vendor?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

BizAcuity

APRIL 14, 2022

Be it supply chain resilience, staff management, trend identification, budget planning, risk and fraud management, big data increases efficiency by making data-driven predictions and forecasts. With adequate market intelligence, big data analytics can be used for unearthing scope for product improvement or innovation.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

Data Warehouse 79

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 79

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Diversity of workloads.

Metadata 86

Metadata Big Data Optimization Unstructured Data 86

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? What are common data challenges for the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Jet Global

JUNE 18, 2019

The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself. The new age of manufacturing has resulted in an opportunity to optimize every stage of the supply chain to make it more efficient and profitable. Manufacturing.

Big Data 75

Big Data Software Data Analytics Analytics 75

Smart Data Collective

MARCH 24, 2020

Historically, the education system has accumulated a significant amount of data. Analysis of the results of the integrity of the review of problem situations, methods of forecasting and planning for their resolution. Training strategy. Background. Media Education. Decision making. Sociocultural environment.

Big Data 100

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 100

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. billion by 2029, at a CAGR of 28.58% in the forecast period. Digital twins allow you to effectively model operations, monitor every aspect of your operation and optimize the output of your system.

Data Collection 84

Data Collection Visualization Data-driven Unstructured Data 84

Sisense

AUGUST 21, 2020

Gartner: “Within the current pandemic context, AI techniques such as machine learning (ML), optimization and natural language processing (NLP) are providing vital insights and predictions about the spread of the virus and the effectiveness and impact of countermeasures. Trend 5: Augmented data management.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

Jet Global

OCTOBER 3, 2019

The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself. The new age of manufacturing has resulted in an opportunity to optimize every stage of the supply chain to make it more efficient and profitable. Manufacturing.

Big Data 53

Big Data Software Data Analytics Analytics 53

FineReport

FEBRUARY 5, 2020

To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department. Self-service data preparation is essentially letting the BI system automatically handle the logical association between data. Management, security and architecture of the BI platform.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Sisense

MAY 11, 2021

With our strategy in mind, we factored in our consumers and consuming services, which primarily are Sisense Fusion Analytics and Cloud Data Teams. Interestingly, this ad hoc analysis benefits from a single source of truth that is easy to query to allow for quickly querying of raw data alongside the cleanest data (i.e.,

Modeling 84

Modeling Big Data IoT Data Warehouse 84

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.

Technology 279

Technology Internet of Things IT IoT 279

Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement. How is Data Virtualization performance optimized? In forecasting future events.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

datapine

DECEMBER 4, 2019

Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Applied to business, it is used to analyze current and historical data in order to better understand customers, products, and partners and to identify potential risks and opportunities for a company.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212