Datavail

MARCH 4, 2020

They’re finding it almost impossible to co-opt their legacy database technology for use with cutting-edge data sources like Artificial Intelligence (AI) and the Internet of Things (IoT). For years, companies have invested in data centers (and, more recently, cloud services) to store and manage their growing data lakes.

Artificial Inteligence 52

Artificial Inteligence Data Artificial Intelligence IoT 52

Perficient

MARCH 3, 2023

Finally, you can further optimize the content experience with Adobe and AWS Solutions and service such as: Adobe Sensei, an industry-leading AI, machine learning solution to cut the time spent on tedious tasks like tagging, cropping, and adapting assets for each channel and device.

AWS 64

AWS Technical Review Load Balancer Cloud 64

Cloudera

AUGUST 22, 2021

And yet, we are only barely scratching the surface of what we can do with newer spaces like Internet of Things (IoT), 5G and Machine Learning (ML)/Artificial Intelligence (AI) which are enabled by cloud. Cloud-enabled use cases like IoT and ML/AI are being used at scale by customers across APAC. . It keeps me going. .

Cloud 104

Cloud Artificial Inteligence CTO Coach Strategy 104

Actian

FEBRUARY 24, 2020

Still, the underlying premise is the same – in a post-digital transformation environment, companies need the ability to leverage a wide variety of technology components to support their business: IoT, cloud services, mobile devices, SaaS software, and traditional IT systems. Aggregating data for enterprise insights.

Artificial Inteligence 40

Artificial Inteligence IoT Artificial Intelligence Mobile 40

Actian

FEBRUARY 3, 2020

The rapid growth and adoption of commercially available cloud services meant that companies could forgo expensive hardware upgrades and the overhead maintenance costs of data centers and instead pay for IT resources and capacity based on utilization. Are you ready to support data analysis augmented by Machine Learning and AI?

Marketing 40

Marketing Data Analytics Cloud 40

Palo Alto Networks

AUGUST 14, 2019

Regardless of career path, nearly every job in the 21 st century uses computer technology. It’s time that every student learns the essential tools, as well as the risks and rewards. . This is why we’re giving parents, students, teachers and educational institutions the tools that they need to put cybersecurity front and center. .

IoT 8

IoT Education Energy Government 8

Altexsoft

JULY 1, 2021

PaaS solutions support the development of virtually any type of system, including web applications, mobile applications, big data, AI, and even hardware based solutions like internet of things (IoT) devices. Microsoft Azure Machine Learning (Azure ML). Automated backups— facilitates database management and data storage.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Actian

NOVEMBER 25, 2019

Modern Edge Intelligence needs support for in-line analytics based on more than just the locally sourced data streams. Going forward, there will be multiple data streams and data types with baseline patterns that are referenced, correlated, with machine learning algorithms applied.

Artificial Inteligence 40

Artificial Inteligence Machine Learning Off-The-Shelf Systems Review 40

Instaclustr

OCTOBER 14, 2019

The conference spreads over 4 days next week with a great choice of presentations in multiple tracks including: Cassandra, IoT, Geospatial, Streaming, Machine Learning, and Observability! IoT, geospatial, ML, streaming, etc.), The solution is the Akkio data locality layer, and “ sharding the shards ”!

Technical Review 36

Technical Review Technology Report Open Source 36

Actian

JANUARY 24, 2020

This list is a function of where we see use cases evolving for embedded Edge data management in the mobile, IoT, and complex intelligent equipment spaces. Share data across OT, Cloud and IT traditional environments. But instead, focus on what in your actual requirements would justify the switch away from flat files.

Software Development 40

Software Development Software Development Off-The-Shelf 40

CIO

JANUARY 20, 2023

Here’s what to consider: Ingesting the data : To be able to analyze more data at greater speeds, organizations need faster processing via high-powered servers and the right chips for AI—whether CPUs or GPUs. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers. 1] [link]. [2]

Analytics 342

Analytics Artificial Inteligence Artificial Intelligence Hardware 342

Actian

JULY 31, 2019

These systems contain semi-structured and unstructured document data stored in eXtensible Markup Language (XML) and JavaScript Object Notation (JSON) formats. They are generating the entire range of structured and unstructured data, but with two-thirds of it in a time-series format. appeared first on Actian.

Artificial Inteligence 8

Artificial Inteligence Data IoT Technical Review 8

Hu's Place - HitachiVantara

JANUARY 15, 2019

When the formation of Hitachi Vantara was announced, it was clear that combining Hitachi’s broad expertise in OT (operational technology) with its proven IT product innovations and solutions, would give customers a powerful, collaborative partner, unlike any other company, to address the burgeoning IoT market.

Systems Review 72

Systems Review Storage System Software Review 72