Smart Data Collective

SEPTEMBER 26, 2019

Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured data contains a mixture of both structured and unstructured data. Semi-structured. Software Testing.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Cloudera

JUNE 22, 2023

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud. Flexibility.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

BizAcuity

NOVEMBER 26, 2019

There are several reporting tools and platforms available today, and enterprises usually choose the one that is best suited for their business needs. It provides a host of security features. It is widely used for modeling and structuring of unshaped data. It can process a large amount of data. SSRS and Microsoft Power BI.

Recreation/Entertainment 84

Recreation/Entertainment Reporting Interactive Data Processing 84

Laminar Security

JUNE 8, 2023

Exponential data proliferation The sheer volume of data that businesses are creating, consuming, and analyzing has grown exponentially, making the cloud a very tempting target for threat actors. The global datasphere is estimated to reach 221,000 exabytes by 2026 , 90% of which will be unstructured data.

Statistics 82

Statistics Risk Reporting Unstructured Data 82

Ontotext

NOVEMBER 2, 2023

The pathway forward doesn’t require ripping everything out but building a semantic “graph” layer across data to connect the dots and restore context. However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight.

IT 69

IT Cost-Benefit Data-driven Technology 69

Cloudera

SEPTEMBER 1, 2020

DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e. data best served through Apache Solr). What does DDE entail?

Snapshot 71

Snapshot Unstructured Data Dashboards Interactive 71

Ontotext

NOVEMBER 22, 2020

Ontotext’s extensive experience of bringing enterprise-level to national and global brands understands this and has for over a decade strived to make the power of semantic technology accessible. From packaging and deployment to monitoring tools and report generations, the Platform has everything an enterprise needs.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

BizAcuity

NOVEMBER 27, 2019

There are several reporting tools and platforms available today, and enterprises usually choose the one that is best suited for their business needs. It provides a host of security features. It is widely used for modeling and structuring of unshaped data. It can process a large amount of data. SSRS AND MICROSOFT POWER BI.

Recreation/Entertainment 52

Recreation/Entertainment Reporting Interactive Data Processing 52

BizAcuity

NOVEMBER 27, 2019

There are several reporting tools and platforms available today, and enterprises usually choose the one that is best suited for their business needs. It provides a host of security features. It is widely used for modeling and structuring of unshaped data. It can process a large amount of data. SSRS AND MICROSOFT POWER BI.

Recreation/Entertainment 52

Recreation/Entertainment Reporting Interactive Data Processing 52

bridgei2i

FEBRUARY 24, 2021

In our latest episode of the AI to Impact podcast, host Monica Gupta – Manager of AI Actions, meets with Sunil Mudgal – Advisor, Talent Analytics, BRIDGEi2i, to discuss the benefits of adopting AI-powered surveillance systems in HR organizations. These solutions help drive both functional and enterprise-wide transformation by making AI real.

Cost-Benefit 92

Cost-Benefit Recreation/Entertainment Digital Transformation Scorecard 92

IBM Big Data Hub

DECEMBER 4, 2023

As part of our generative AI initiatives, we can demonstrate the ability to use a foundation model with prompt tuning to review the structured and unstructured data within the insurance documents (data associated with the customer query) and provide tailored recommendations concerning the product, contract or general insurance inquiry.

Insurance 53

Insurance Digital Transformation Risk Management Interactive 53

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? Other sectors such as banking, healthcare, and education also take advantage of big data.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

bridgei2i

JANUARY 24, 2022

I’m your host, Sushmita Krishnakumar. And today, it’s an honor to host such a talent. Sushmita: So Rajani, you started as a data science practitioner a few years back. Until next time signing off your host, Sushmita Krishna Kumar. Tune in to hear heartfelt conversations that will brighten your day.

Data Processing 52

Data Processing Data Science Unstructured Data Enterprise 52

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. You can also store other data in purpose-built data stores to analyze and get fast insights from both structured and unstructured data.

Data Lake 112

Data Lake Analytics Dashboards Metrics 112

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Open AWS Glue Studio. Choose ETL Jobs.

Data Lake 102

Data Lake Metadata Snapshot Recreation/Entertainment 102

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 76

Data Lake Testing Interactive Unstructured Data 76

bridgei2i

APRIL 23, 2020

How much will the bank’s bottom line be impacted depends on a host of unknowns. AI can assess quantitative data, as well as unstructured data systems, for better risk management of financial and reputational losses. BRIDGEi2i implemented a fraud-monitoring-and-prevention solution for a leading US bank. Learn MORE. “and

Risk 52

Risk Management Scorecard Forecasting 52

IBM Big Data Hub

JULY 6, 2023

An online hospitality company uses data science to ensure diversity in its hiring practices, improve search capabilities and determine host preferences, among other meaningful insights. The company made its data open-source, and trains and empowers employees to take advantage of data-driven insights.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

CIO Business Intelligence

FEBRUARY 10, 2023

And, in his experience, the public cloud is “not quite” as infinitely horizontally scalable as many think — though only a handful of enterprises come even close to reaching the barrier, he says. Randich, who came to FINRA.org in 2013 after stints as co-CIO of Citigroup and former CIO of Nasdaq, is no stranger to the public cloud.

Unstructured Data 105

Unstructured Data Data Lake Machine Learning Enterprise 105

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. DBT (Data Build Tool) — A command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively. DataOps is a hot topic in 2021.

Testing 300

Testing Machine Learning Consulting Data Quality 300

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). Vector embeddings represent data (including unstructured data like text, images, and videos) as coordinates while capturing their semantic relationships and similarities.

Unstructured Data 107

Unstructured Data Dashboards Business Intelligence Data Governance 107

Domino Data Lab

JULY 2, 2019

Of course, if you use several different data management frameworks within your data science workflows—as just about everybody does these days—much of that RDBMS magic vanishes in a puff of smoke. Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?”

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

IBM Big Data Hub

SEPTEMBER 7, 2023

As one of the first companies to develop enterprise AI, IBM’s approach to AI development is guided by core principles grounded in commitments of trust and transparency. IBM’s watsonx AI and data platform lets you go beyond being an AI user and become an AI value creator.

Modeling 102

Modeling Risk Unstructured Data Enterprise 102

CIO Business Intelligence

JUNE 14, 2023

Enterprises can handle much higher data volumes on a unified platform spanning multiple use cases with the scalability to handle the storage and processing of large volumes of data – far beyond petabytes. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data?

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. It is no surprise that almost all large enterprises and SMEs have shifted a part of their operations to the cloud. Storing data is extremely expensive even with VMs during this time. Cloud became a competitive advantage.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Cloudera

AUGUST 31, 2020

Similar to any complex enterprise adopting a new product, SMG’s implementation of Hive LLAP needed things that had not been done by any other customer. Today SMG can leverage tremendously more Data Science on both structured and unstructured data. Co-Development Partnership.

Slice and Dice 66

Slice and Dice Management Data Warehouse Analytics 66

Cloudera

AUGUST 21, 2020

Perhaps one of the most significant contributions in data technology advancement has been the advent of “Big Data” platforms. Historically these highly specialized platforms were deployed on-prem in private data centers to ensure greater control , security, and compliance. Big Data is an ecosystem as well as a philosophy.

Cost-Benefit 76

Cost-Benefit Big Data ROI Risk 76

datapine

NOVEMBER 19, 2019

This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. Thus, deep nets can crunch unstructured data that was previously not available for unsupervised analysis. How it will be used in enterprises , we will yet to see. Quantum Computing.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

AUGUST 1, 2023

Define a game-changing LLM strategy At a recent Coffee with Digital Trailblazers I hosted, we discussed how generative AI and LLMs will impact every industry. This opportunity is greater today because of generative AI, especially when CIOs centralize unstructured data in an LLM and enable service agents to ask and answer customers’ questions.

Digital Transformation 97

Digital Transformation Unstructured Data Strategy Experimentation 97

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

datapine

FEBRUARY 22, 2022

Then for knowledge transfer choose the repository, best suited for your organization, to host this information. Ensure data literacy. Paired to a well-thought data dictionary, another action you need to take to ensure your business intelligence strategy is successful is the democratization of data across the entire organization.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Introduction. CRM platforms).

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

DataRobot

SEPTEMBER 14, 2021

DataRobot AI Cloud brings together any type of data from any source to give our customers a holistic view that drives their business: critical information in databases, data clouds, cloud storage systems, enterprise apps, and more. Unified, End-to-End Platform Across the AI Lifecycle.

Unstructured Data 52

Unstructured Data Data-driven Data Processing Modeling 52