TechCrunch

JUNE 1, 2022

We’ve long documented the challenges that DevOps and operations teams in specific areas like security face these days when it comes to data observability: a wide range of services across the landscape of an organization’s network translates into many streams of data that they need to track for performance, security and other reasons.

Analytics 246

Analytics DevOps Storage Business Intelligence 246

CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Analytics 203

Analytics Data Analysis Business Analytics 203

CIO

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 190

Big Data Analytics Data eLearning 190

CIO

AUGUST 9, 2023

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. Novel approaches to storage are needed because generative AI’s requirements are vastly different.

Generative AI 148

Generative AI Storage Scalability Technical Review 148

CIO

MARCH 4, 2025

Artificial intelligence: Driving ROI across the board AI is the poster child of deep tech making a direct impact on business performance. This robotic revolution directly boosts productivity, with robots performing tasks tirelessly and precisely. According to a recent IDC study, companies using AI are reporting an average of $3.70

Technology 177

Technology Biotech Artificial Inteligence Artificial Intelligence 177

CIO

OCTOBER 1, 2022

Businesses, particularly those that are relatively new to the cloud, often overprovision resources to ensure performance or avoid running out of capacity. Analytics that take the guesswork out by determining the best selections, and ultimately automating instance configuration, is key.

Performance 148

Performance Cloud Hardware Survey 148

CIO

JANUARY 22, 2025

This ensures backups are performed consistently and accurately, freeing IT staff to focus on more strategic initiatives. Predictive analytics and proactive recovery One significant advantage of AI in backup and recovery is its predictive capabilities.

Backup 88

Backup Artificial Inteligence Data Artificial Intelligence 88

AWS Machine Learning - AI

NOVEMBER 13, 2024

Amazon Titan FMs provide customers with a breadth of high-performing image, multimodal, and text model choices, through a fully managed API. The following diagram illustrates the solution architecture: The steps of the solution include: Upload data to Amazon S3 : Store the product images in Amazon Simple Storage Service (Amazon S3).

AWS 116

AWS Engineering Serverless eCommerce 116

AWS Machine Learning - AI

OCTOBER 29, 2024

These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability.

Generative AI 112

Generative AI Video Engineering Artificial Inteligence 112

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Data 84

Data Analytics Systems Review Architecture 84

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Artificial Inteligence 178

Artificial Inteligence Data Artificial Intelligence Analytics 178

TechCrunch

DECEMBER 14, 2021

This is where Carto comes along with a product specialized on spatial analytics. Carto provides connectors with databases (PostgreSQL, MySQL or Microsoft SQL Server), cloud storage services (Dropbox, Box or Google Drive) or data warehouses (Amazon Redshift, Google BigQuery or Snowflake). Carto can ingest data from multiple sources.

Data 234

Data Telecommunications Transportation Analysis 234

Cloudera

NOVEMBER 7, 2023

Navigating this intricate maze of data can be challenging, and that’s why Apache Ozone has become a popular, cloud-native storage solution that spans any data use case with the performance needed for today’s data architectures. One of these two layouts should be used for all new storage needs.

Storage 105

Storage System Architecture Analytics 105

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Firebolt raises $127M more for its new approach to cheaper and more efficient Big Data analytics.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

TechCrunch

JANUARY 24, 2023

The same survey found the average number of data sources per organization is now 400 sources, and that more than 20% of companies surveyed were drawing from 1,000 or more data sources to feed their business intelligence and analytics systems. ” So what else can enterprises do with Komprise? .

Company 203

Company Data Storage Backup 203

CIO

OCTOBER 20, 2023

Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets. A hybrid cloud approach means data storage is scalable and accessible, so that more data is an asset—not a detriment.

Data 195

Data How To Quality Assurance Software Development 195

AWS Machine Learning - AI

OCTOBER 29, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Generative AI 114

Generative AI Applications AWS Knowledge Base 114

Perficient

AUGUST 9, 2023

When combined with Redis, which excels in fast data retrieval and storage, you get a potent stack for creating high-performance applications. Let’s dive into some common use cases where Redis can dramatically enhance the performance of your Node.js

Performance 96

Performance Software Review Analytics Systems Review 96

TechCrunch

FEBRUARY 24, 2021

“The classic problem with these cluster-based databases is that they’ve got locally attached storage. “So we built a new storage layer which delivers […] SSD-like performance using nothing but cloud storage and diskless spot instances,” Kagan explained.

Data 177

Data Storage Metrics Google Cloud 177

Perficient

NOVEMBER 17, 2024

Semantic Modeling Retaining relationships, hierarchies, and KPIs for analytics. A data lakehouse is a unified platform that combines the scalability and flexibility of a data lake with the structure and performance of a data warehouse. Federation and Replication Choose between connecting or replicating data. What is Databricks?

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

CIO

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. These systems help managers monitor performance indicators. Clinical DSS. ERP dashboards. Document-driven DSS.

System 217

System Data Artificial Inteligence Analysis 217

CIO

JULY 18, 2024

This limits both time and cost while increasing productivity, allowing employees to make stronger analytical decisions. Often organizations struggle with data replication, synchronization, and performance. They also reduce storage and maintenance costs while integrating seamlessly with cloud platforms to simplify data management.

Cloud 167

Cloud Data Storage eBook 167

TechCrunch

OCTOBER 12, 2020

Kinnami has created a unique storage and security system, ‘AmiShare’, which fragments and encrypts data. Raised so far: Undisclosed amount / seed from ICE71 Accelerate, 25 June 2020. Description: “Kinnami uniquely secures and optimises data sharing, ongoing data migration and management across distributed systems.

Transportation 249

Transportation Storage System Enterprise 249

CIO

AUGUST 19, 2024

This transformation is fueled by several factors, including the surging demand for electric vehicles (EVs) and the exponential growth of renewable energy and battery storage. By modernizing toward a cohesive, interoperable ecosystem, utilities can unlock new opportunities to optimize grid performance and enhance overall efficiency.

Energy 183

Energy Load Balancer Systems Review Technical Review 183

CIO

OCTOBER 30, 2023

And companies need the right data management strategy and tool chain to discover, ingest and process that data at high performance. Traditionally, data management and the core underlying infrastructure, including storage and compute, have been viewed as separate IT initiatives.

Infrastructure 214

Infrastructure Data Artificial Inteligence Artificial Intelligence 214

CIO

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs.

Business Intelligence 216

Business Intelligence Data Business Analytics Analytics 216

Perficient

FEBRUARY 10, 2025

You open your laptop, search through Salesforce documentation, and suddenly feel overwhelmed by terms like data storage, file storage, and big objects. In this blog, lets break down the types of storage in Salesforce in a way thats easy to understand. File Storage Stores files like attachments, documents, and images.

Software Review 52

Software Review Storage Data AWS 52

TechCrunch

OCTOBER 7, 2021

Data observability — necessary to keep tabs on infrastructure performing as it should; to see if apps are returning errors; and to ensure that critical business data is getting to where it needs to go — is becoming an evermore complicated task as organizations’ cloud-native data demands and data usage grow.

Cloud 209

Cloud Sport Open Source Machine Learning 209

Netflix Tech

FEBRUARY 14, 2025

Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries. The enriched data is seamlessly accessible for both real-time applications via Kafka and historical analysis through storage in an Apache Iceberg table.

Systems Review 66

Systems Review Technical Review Data Metrics 66

CIO

NOVEMBER 20, 2023

How generative AI and AI can help Improving patient treatments: As a leader in precision medicine, the Translation Genomics Research Institute, or TGen, has seen the power of high-performance computing, fast processing, analytics, and AI bring next-level speed and capabilities in fighting disease. View the TGen customer case study.

Artificial Inteligence 198

Artificial Inteligence Generative AI Artificial Intelligence Storage 198

CIO

SEPTEMBER 23, 2024

For sectors such as industrial manufacturing and energy distribution, metering, and storage, embracing artificial intelligence (AI) and generative AI (GenAI) along with real-time data analytics, instrumentation, automation, and other advanced technologies is the key to meeting the demands of an evolving marketplace, but it’s not without risks.

Data 183

Data Energy Artificial Inteligence Artificial Intelligence 183

The Crazy Programmer

MAY 12, 2021

Choosing the right data storage solution will depend greatly on how the data is going to be used. While both a data lake and a data warehouse share the goal of the process data queries to facilitate analytics, their functions are different. That’s why data warehouses are specifically designed for interactive data analytics.

Data 162

Data Healthcare IoT Pharmaceuticals 162

CIO

OCTOBER 2, 2024

Why the synergy between AI and IoT is key The real power of IoT lies in its seamless integration with data analytics and Artificial Intelligence (AI), where data from connected devices is transformed into actionable insights. This impressive growth trajectory underscores the accelerating role of IoT in our lives.

IoT 185

IoT Real Estate Artificial Inteligence Sustainability 185

Xebia

JANUARY 22, 2025

A columnar storage format like parquet or DuckDB internal format would be more efficient to store this dataset. This is the result of the timings: Engine File format Timings first row Timings last row Timings analytical query Spark CSV 31 ms 9 s 18 s DuckDB CSV 7.5 And is a cost saver for cloud storage.

Analytics 130

Analytics Storage Engineering Comparison 130

CIO

AUGUST 20, 2024

On the surface, the cost argument for deploying edge infrastructure is fairly straightforward: By processing data closer to where it is generated, organizations can reduce spending on network and connectivity while improving performance. Yet the scale and scope of edge projects can quickly escalate costs.

Disaster Recovery 179

Disaster Recovery Unified Communications Storage Infrastructure 179

The Crazy Programmer

JANUARY 13, 2023

Difference and Analytical Engine. It had data storage also like modern computers. In the middle of the 1830s, Charles planned to develop an Analytical Engine. However, Analytical Engine was never completed. This calculator could do mathematical computations to eight decimals. This device was a digital device.

Analytics 173

Analytics Engineering Construction Storage 173

AWS Machine Learning - AI

NOVEMBER 19, 2024

Seamlessly integrate with APIs – Interact with existing business APIs to perform real-time actions such as transaction processing or customer data updates directly through email. Monitoring – Monitors system performance and user activity to maintain operational reliability and efficiency.

Knowledge Base 109

Knowledge Base Generative AI Technical Review Lambda 109