TechCrunch

MAY 2, 2022

. “More than 80% of the world’s data is unstructured. Unstructured data requires a hyper-manual process to structure data at scale, consuming expensive data science resources throughout an organization,” Aroomoogan told TechCrunch via email. Image Credits: Accern.

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Software Review Technical Review Business Intelligence Training 199

InfoWorld

MARCH 20, 2024

Data lakehouse provider Databricks said it is acquiring Boston-based Lilac AI to help enterprises explore and use their unstructured data for building generative AI -based applications. Today, we are thrilled to announce that Lilac is joining Databricks. To read this article in full, please click here

Artificial Inteligence 81

Artificial Inteligence Generative AI Training Data 81

CIO

JUNE 6, 2023

In this new blog series, we explore artificial intelligence and automation in technology and the key role it plays in the Broadcom portfolio. The apps and tools have to gather, process and deliver back data to the consumer with minimal latency. What I saw blew my mind away. So what does it take on the hardware side?

Hardware 205

Hardware Artificial Inteligence Applications Wireless 205

Newgen Software

FEBRUARY 6, 2024

Organizations need to transition towards a digital business ecosystem that uses data and analytics as a tactical weapon. This requires significant adaption in organizational culture, one that is driven by a data strategy and supported by a robust Business Process Management (BPM) based analytics platform. Why Analytics?

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DevOps.com

MAY 16, 2023

It provides a scalable, secure and highly available data storage solution for businesses of any size. The platform includes various services such as Azure Blob, which is a service for storing large amounts of unstructured data such as documents, images, videos and backups.

Azure 109

Azure Storage Backup Scalability 109

The Crazy Programmer

SEPTEMBER 22, 2022

The data gathered from the analysis can help businesses have a better overview and understanding of their customers’ opinions, whether they’re positive, negative, or neutral. You can also use this to analyze written comments made by your customers on your blog posts, news articles, social media, online forums, and other online review sites.

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Analysis Artificial Inteligence Software Review Artificial Intelligence 173

Cloudera

MARCH 17, 2023

As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.

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ChatGPT Education Data Comparison 60

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.

Virtualization 80

Virtualization Industry Data Technology 80

John Snow Labs

MAY 31, 2023

Welcome to Part II of the blog series on extracting entities from text reviews using NLP Lab. In the first part of the blog, we discussed the challenges faced by a market research company as they aimed to extract relevant entities from a vast dataset of hotel reviews. In that case, we must fine-tune the labeling in our tasks.

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Systems Review Hotels Training Examples 64

John Snow Labs

APRIL 22, 2024

John Snow Labs provides models renowned for their exceptional accuracy in information extraction and classifying patient responses from unstructured texts, marking a significant stride forward in the application of NLP to cancer care. There are multiple approaches for evaluating a patient’s response to cancer treatment using NLP.

Healthcare 52

Healthcare Artificial Inteligence Software Review Systems Review 52

DXC

OCTOBER 6, 2020

Data-driven insights are wholly dependent on the ability of enterprises to collect and analyze data for actionable information about customers, markets, product development, and operations. The post Facing data scientist shortage, organizations turn to ML automation and embedded analytics appeared first on DXC Blogs.

Analytics 80

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Perficient

OCTOBER 30, 2023

If AI can be simply put, it’s a manner of processing massive amounts of data in real-time to drive intelligent decisions. Every business leader in healthcare is thinking about how to best use their number one asset beyond their human capital – their data. Trusting your data is another blog worthy topic.

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Healthcare Machine Learning Artificial Inteligence Generative AI 115

Data Virtualization

JULY 21, 2021

The volume of data, both structured and unstructured, continues to grow exponentially, and organizations continue to struggle to leverage all of the data to make the best business decisions. The post Data Virtualization: A flexible, Agile, and Cost-Effective Solution appeared first on Data Virtualization blog.

Virtualization 52

Virtualization Agile Data Organization 52

CIO

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Traditional ML requires a lot of data, experienced data scientists, as well as training and tuning. It’s incredible,” he says.

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Artificial Inteligence Enterprise Trends ChatGPT 312

Invid Group

JANUARY 3, 2024

How to use Big Data to improve User Experience in 2024 BY: INVID User experience has become a critical differentiator for companies looking to stand out in a crowded market in the ever-changing digital landscape. As technology develops, so does our capacity to gather and examine enormous volumes of data.

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Big Data Data How To Analytics 52

DevOps.com

JUNE 30, 2020

Commvault and Microsoft are extending their existing relationship to integrate Commvault’s data protection software with Azure Blob Storage. Azure Blob Storage is a service based on object-based storage optimized for unstructured data. The […]. The […].

Azure 116

Azure Data Storage Cloud 116

CIO

AUGUST 17, 2023

Some system providers are facing lawsuits because they trained their systems on data and content without getting permission from the original creators,” he says, adding that costs can also be prohibitive because the core technology powering today’s generative AI systems is very expensive to train.

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Generative AI Artificial Inteligence ChatGPT Training 227

DevOps.com

FEBRUARY 7, 2020

Stellus Technologies launched a network-attached storage (NAS) system capable of processing unstructured data at 10 times the speed of existing systems. The post Stellus Launches Next Generation NAS Platform appeared first on DevOps.com.

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Storage Virtualization Network System 125

Sunflower Lab

JULY 21, 2023

This blog explores the key differences between RPA and IPA, their capabilities, and their applications in the automation process. Finance RPA ensures efficient and accurate execution of financial operations by handling tasks like invoice processing, customer onboarding, data entry, etc. billion, reaching 51.35 billion in 2032.

Healthcare 52

Healthcare VR Budget Video 52

Linux Academy

JULY 9, 2019

“Big data” has slowly transitioned from a buzzword to a part of everyday life, but it’s still somewhat mysterious. What exactly is big data? Our new Big Data Fundamentals course offers a high-level overview of the types of big data, its architecture, and some main technologies that use it. Structured Data.

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Big Data Data Airlines Linux 60

Cloudera

FEBRUARY 23, 2023

Solving this crisis can and should be supported by insights gained from the vast amounts of data available to healthcare providers and government agencies. With CDP, KMC was able to develop the aptly named Controlled Substance Analytics platform to leverage data analytics in the fight against opioid abuse and misuse.

Analytics 76

Analytics Data Healthcare Pharmaceuticals 76

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

Data 108

Data Architecture Analytics Government 108

DevOps.com

JUNE 2, 2020

Cloudian today added a monitoring and observability tool to its object-based portfolio of appliances for storing unstructured data in on-premises IT environments.

Storage 81

Storage Tools Analytics Marketing 81

Cloudera

DECEMBER 6, 2021

It takes vision, purpose, and skill to unlock the power of data. All three organizations have partnered with Cloudera, leveraging a hybrid or cloud-based architecture to improve the lives of the people who depend on their organizations’ data. ExxonMobil has accumulated 100 years’ worth of data in millions of digital records.

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Architecture Cloud Data Chemicals 80

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. The key is active and ongoing monitoring of prognostic health data. Cloudera is foundational in how we track and govern our data.” .

IoT 98

IoT Machine Learning Artificial Inteligence Government 98

AWS Machine Learning - AI

MARCH 4, 2024

Vision capabilities – Claude 3 models have been trained to understand structured and unstructured data across different formats, not just language, but also images, charts, diagrams, and more. This lets businesses build generative AI applications integrating diverse multimedia sources and solving truly cross-domain problems.

Generative AI 133

Generative AI AWS Artificial Inteligence Innovation 133

Tandem

SEPTEMBER 12, 2023

This blog post will provide a balanced view of the advantages and disadvantages of microservice architecture for enterprise software systems. Managing multiple services, APIs, and data stores can require additional tooling and operational overhead, increasing the overall effort of running a system.

Microservices 52

Microservices Architecture Weak Development Team Serverless 52

Perficient

DECEMBER 12, 2023

Introduction In this blog, we will show you how to build a conversational search application that can interact with Azure Cognitive Search (ACS) and retrieve relevant content from a web-scraped index by asking natural language questions, requesting for summary information, and using vector search.

Artificial Inteligence 52

Artificial Inteligence Azure Applications Generative AI 52

Cloudera

DECEMBER 19, 2023

Innovations in AI-enabled data management in defense and intelligence communities also enable secure data sharing across the organization and with partners, optimizing data analysis and intelligence collaboration. Make sure to audit data regularly. Trust your data. Improve dataset quality. Trust your enterprise AI.

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Artificial Inteligence Generative AI Government Technical Review 86

Cloudera

APRIL 7, 2022

As a public sector leader, you don’t need the value of data explained to you. Simply collecting data isn’t enough anymore: government agencies must harness the value of that data in motion with an effective data strategy and platform. You already understand its importance to your vital missions. .

Government 90

Government Machine Learning Artificial Inteligence Analytics 90

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

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Cloud Data Government Strategy 111

Dell EMC

MARCH 30, 2020

This blog is co-authored by Claudio Fahey, Chief Solutions Architect, Artificial Intelligence and Analytics, Unstructured Data Solutions, Dell Technologies and Jacci Cenci, Senior Technical Marketing Engineer, NVIDIA Over the last few years, Dell Technologies and NVIDIA have been helping our joint customers fast-track their Artificial Intelligence (..)

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Artificial Intelligence Artificial Inteligence System Storage 69

Cloudera

OCTOBER 28, 2020

By using data to listen to their customers better. The most innovative companies use data and analytics to offer appropriate products and services. To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data.

Data 69

Data Analytics Banking Machine Learning 69

Datavail

JULY 7, 2022

Unstructured data. Legacy analytics infrastructure was often designed for an era where the majority of enterprise data was structured (i.e. data that belongs in a row-column tabular database). Multiple studies estimate that unstructured data could make up as much as 80 to 90 percent of all information.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Prisma Clud

NOVEMBER 21, 2023

Enterprises often interpret a data security mandate as identifying configuration issues or vulnerabilities in their data infrastructure. To improve security posture, though, the scope of data security activities must be to protect sensitive data assets such as customer information, trade secrets, financial information or patents.

Data 52

Data Policies Software Review Compliance 52

Datavail

DECEMBER 2, 2021

Snowflake took the market by storm when it introduced its innovative cloud-based data warehouse technology in 2014. It is one of the first data warehousing platforms offered as a software as a service (SaaS) product with storage, compute, and cloud services operating separately and billing as independent units. You Pick the Platform.

Data 98

Data Analytics Azure Storage 98

Perficient

AUGUST 8, 2023

I have read several articles that explain that the Data Lake, Data Warehouse, and Data Lakehouse are different repositories and that you may need several or all of them. In this post, I will explain why I believe you don’t need anything other than a modern Data Lake. You can find my three-part series, here.

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Data Artificial Inteligence Artificial Intelligence Serverless 52