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 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. This message resonates with the market positioning of Ontotext as a trusted, stable option for demanding data-centric use cases.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Smart Data Collective

SEPTEMBER 26, 2019

A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever. Unstructured. Unstructured data lacks a specific format or structure.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

Ontotext

NOVEMBER 2, 2023

However, in the race to become data-driven, most efforts have resulted in a tangled web of data integrations and reconciliations across a sea of data silos that add up to between 40% – 60% of an enterprise’s annual technology spend. We call this the “ Bad Data Tax ”.

IT 69

IT Cost-Benefit Data-driven Technology 69

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

Sisense

OCTOBER 6, 2020

Despite its many uses, quantitative data presents two main challenges for a data-driven organization. First, data isn’t created in a uniform, consistent format. It’s generated by a host of sources in different ways. Advanced technology and new approaches are needed. It’s more complex, and it requires more storage.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Ontotext

NOVEMBER 22, 2020

Knowledge graphs have been proven to be a powerful, scalable and intelligent technology for solving today’s complex business needs. Data and content are organized in a way that facilitates discoverability, insights and decision making rather than be bound by limitations of data formats and legacy systems.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

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 56

Insurance Digital Transformation Risk Management Interactive 56

Sisense

AUGUST 18, 2019

they’re great for handling large volumes of unstructured data, at speed. That said, the application itself must insert meaningful data, and you might have to put a lot of effort into maintaining the software. Are you using static JSON data? You read that right. How much Structure will you need later?

Unstructured Data 81

Unstructured Data Data Processing Dashboards Testing 81

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. Dashboards Answer Critical Business Questions. So, what is a dashboard primary function? click to enlarge**.

Dashboards 316

Dashboards KPI Sales Visualization 316

Sisense

NOVEMBER 12, 2020

While the organization of these layers has been refined over the years, the interoperability of the technologies, the myriad software, and orchestration of the systems make the management of these systems a challenge. Cloud data warehouses. with a cloud data warehouse is simple.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

CIO Business Intelligence

JULY 14, 2023

CIOs want to take advantage of this but on their terms—and their own data. As so often happens with new technologies, the question is whether to build or buy. A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data.

Modeling 98

Modeling Machine Learning Cost-Benefit B2B 98

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 61

Machine Learning Data Science Statistics Deep Learning 61

datapine

NOVEMBER 19, 2019

In this post, we’re going to give you the 10 IT & technology buzzwords you won’t be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. Exclusive Bonus Content: Download our Top 10 Technology Buzzwords! One of the IT buzzwords you must take note of in 2020.

Technology 279

Technology Internet of Things IT IoT 279

bridgei2i

APRIL 23, 2020

Thankfully, today technological advances have allowed banks to carry out most of the transactions electronically, with the help of remote working in a safe, secure, and unhindered manner. How much will the bank’s bottom line be impacted depends on a host of unknowns. Hundreds of staff members fell sick. Learn MORE. “and

Risk 52

Risk Management Scorecard Forecasting 52

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need.

Data Lake 81

Data Lake Visualization Dashboards Insurance 81

FineReport

APRIL 26, 2023

Veracity pertains to the reliability and quality of data, including potential biases, abnormalities, or inconsistencies. By leveraging Big Data technologies, companies can collect, store, and analyze information to make informed decisions and improve their operations. Why do Enterprises Need Big Data Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

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 105

Data Lake Sales Data Warehouse Snapshot 105

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. Many organizations today are dealing with large amounts of structured and unstructured data.

Cost-Benefit 92

Cost-Benefit Recreation/Entertainment Digital Transformation Scorecard 92

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 105

Unstructured Data Data Lake Machine Learning Enterprise 105

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 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix.

Testing 307

Testing Machine Learning Consulting Data Quality 307

CIO Business Intelligence

JUNE 14, 2023

When it comes to true economies of scale, a centralized approach to technology via a single platform often outperforms a series of tools. 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.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

IBM Big Data Hub

SEPTEMBER 7, 2023

As we apply the technology more widely across areas ranging from customer service to HR to code modernization, artificial intelligence (AI) is helping increasing numbers of us work smarter, not harder. It’s an exciting time in AI for business.

Modeling 107

Modeling Risk Unstructured Data Enterprise 107

Cloudera

NOVEMBER 17, 2022

HBL has re-envisioned itself as a ‘Technology company with a banking license’, as it transforms into the bank of tomorrow – one which empowers its customers through digital enablement. With CDP, HBL will manage data at scale through a centralized data lake, serving Pakistan, Sri Lanka, Singapore and other international territories.

Management 83

Management Data Lake Consulting Unstructured Data 83

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. It is the epitome of modern technology right now with multi-dimensional innovations shaping every layer. Cloud technology has been around since the mid-2000s. Cloud technology is a fascinating subject. billion by 2025.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

IBM Big Data Hub

JANUARY 16, 2024

Businesses are increasingly embracing data-intensive workloads, including high-performance computing, artificial intelligence (AI) and machine learning (ML). These technologies drive innovation on their hybrid, multicloud journeys while focusing on resilience, performance, security and compliance.

IT 97

IT Cost-Benefit Consulting Measurement 97

Cloudera

AUGUST 31, 2020

With data at the heart of its business, SMG has for many years pursued the most cutting-edge data management technologies. As SMG continued to innovate, the scale, variety and velocity of data made its legacy warehouse environment show its limits. New Frontiers Offered by Cloudera’ Cloud Data Platform (CDP).

Slice and Dice 64

Slice and Dice Management Data Warehouse Analytics 64

Cloudera

AUGUST 21, 2020

And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate. . What technologies will change or be available 3 years from now? .

Cost-Benefit 74

Cost-Benefit Big Data ROI Risk 74

AWS Big Data

JULY 20, 2023

Orca connects to your environment in minutes with patented SideScanning technology to provide complete coverage across vulnerabilities, malware, misconfigurations, lateral movement risk, weak and leaked passwords, overly permissive identities, and more. In addition, we describe the Orca Platform architecture and the technologies used.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

CIO Business Intelligence

AUGUST 1, 2023

In most companies, the leadership concentrates equally on growth and operational efficiency while not forgetting to prioritize resiliency, cybersecurity, and technology debt elimination programs.” Below are several generative AI drivers for CIOs to consider when evolving their digital transformation priorities.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

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

datapine

FEBRUARY 22, 2022

BI is not just a technology initiative. Then for knowledge transfer choose the repository, best suited for your organization, to host this information. Ensure data literacy. It takes time and knowledge to make the best out of such assets, as well as a solid planification. This brings us to the next step….

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

Metadata 123

Metadata Cost-Benefit Enterprise Interactive 123

Cloudera

NOVEMBER 22, 2021

Open source frameworks such as Apache Impala, Apache Hive and Apache Spark offer a highly scalable programming model that is capable of processing massive volumes of structured and unstructured data by means of parallel execution on a large number of commodity computing nodes. . CRM platforms). public, private, hybrid cloud)?

Data Processing 91

Data Processing Data Warehouse Enterprise Visualization 91