#linux | #liuxsecurity | #computersecurity | Real-time Analytics News Roundup for Week Ending October 31


In the news this week: digital twins, processor market consolidation with implications for AI, and solutions that make it easier to deploy to any platform.

Keeping pace
with news and developments in the real-time analytics market can be a daunting
task. We want to help by providing a summary of some of the items our staff
came across each week. Here is a short list of some news from this week:

Ansys announced it is teaming with
Microsoft to advance the state of the art in engineering simulation across
industries, including industrial manufacturing and automotive. Integrated with
Microsoft Azure cloud, HPC, digital twin, and IoT services, Ansys’ solutions
will help users to swiftly solve some of the most challenging engineering
problems. Some key points to note about the partnership synergies include:

  • Ansys Cloud, the underlying platform for running
    Ansys products in the cloud, integrates Azure cloud and HPC services with Ansys
    flagship simulation technologies. New features will enable customers to use
    their existing software licenses and reduce modeling run times by increasing
    cores per job. Additionally, the features will deliver tremendous
    price-performance improvements and incorporate customers’ existing Azure
    contracts. This will make it easier for larger organizations that have
    traditionally leveraged on-premises HPC to migrate to Ansys Cloud — equipping
    teams with extra capacity during peak usage.
  • Ansys is working with Microsoft to integrate
    Microsoft Azure Digital Twins with Ansys Twin Builder to help customers better
    understand the current and future performance of operational assets. Ansys’
    runtime digital twins will be natively represented in Azure Digital Twins.
  • Ansys is also collaborating with Microsoft to
    offer cloud-enabled autonomous vehicle (AV) simulation capabilities to joint
    customers. Ansys VRXPERIENCE, an AV virtual test platform, can unlock massive
    scalability when run on Azure, empowering users to test drive millions of
    virtual miles across countless scenarios in an expedient manner — greatly
    optimizing safety and development costs. The platform’s general availability is
    planned for January 2021, and Ansys is exploring joint go-to-market
    opportunities with Microsoft.

Red Hat announced Red
Hat Enterprise Linux 8.3
, the latest version of its enterprise Linux
platform. Generally available in the coming weeks, Red Hat Enterprise Linux 8.3
fuses the stability required by IT operations teams with cloud-native
innovation, providing a more stable platform for next-generation enterprise
applications. The latest enhancements to the platform bring new performance
profiles and automation, reinforced security capabilities, and updated
container tools. Red Hat Enterprise Linux 8.3 further expands Red Hat System
Roles, which provide prescriptive and automated ways for operating
system-specific configurations. Newly supported roles now include kernel
settings, log settings, SAP HANA, SAP NetWeaver, and management. Additionally, Red
Hat Enterprise Linux 8.3 refines the platform’s performance with updates to
Tuned, a set of pre-configured, architecture-aware performance profiles.

MemSQL announced a name change.
The company is now known as SingleStore,
which better describes the organization’s expansive value proposition. The new
name emphasizes the company and its solution’s ability to change how our
customers use data. SingleStore provides a converged data platform for
transactions and analytics, which organizations can use to process and analyze
their most important time-critical application workloads. It handles
structured, unstructured, and semi-structured data and is available in public
clouds, on-premises, and in hybrid deployments. Along with the name change, the
company announced an expanded vision for SingleStore. That vision includes the
ability to access data located anywhere – even beyond SingleStore – through
global federated access that provides greater flexibility and further
simplifies cloud data management for organizations.

Intel announced it will acquire SigOpt, a platform provider for the
optimization of artificial intelligence (AI) software models at scale. SigOpt’s
AI software technologies deliver productivity and performance gains across
hardware and software with use cases and workloads in deep learning, machine
learning, and data analytics. Intel plans to use SigOpt’s software technologies
across Intel’s AI hardware products to help accelerate, amplify, and scale
Intel’s AI software solution offerings to developers. SigOpt’s software
technologies combined with Intel hardware provide competitive advantages and
differentiated value for data scientists and developers, and they complement
Intel’s existing AI software portfolio.

AMD announced it will acquire Xilinx. The acquisition brings
together companies with complementary product portfolios and customers. AMD
will offer its portfolio of high-performance processor technologies, combining
CPUs, GPUs, FPGAs, Adaptive SoCs, and deep software expertise. Such solutions
and expertise underpin high-performance computing platforms for cloud, edge,
and end devices. Together, the combined company will capitalize on opportunities
spanning some of the industry’s most important growth segments from the data
center to the edge, with applications in communications, automotive,
industrial, aerospace, and defense.

The Linux Foundation’s AI Foundation (LF AI)
and ODPi announced they will come
together under the new LF AI
& Data Foundation
. The LF AI & Data Foundation will build and
support an open community and a growing ecosystem of open-source AI, data, and
analytics projects, by accelerating development and innovation, enabling
collaboration and the creation of new opportunities for all the members of the
community. As one entity under the Linux Foundation, this consolidated and
focused effort will enable additional collaboration and integration in the
space of AI/ML/DL and Data. Combining efforts in both spaces will bring
developers and projects under a single roof, orchestrated by a single Technical
Advisory Council and several committees (Trusted AI, BI & AI), to work
together towards building the open-source AI & Data ecosystem and
accelerating development and innovation.

Carbon Relay announced that Red
Sky Ops, its platform for automatically configuring and continuously optimizing
containerized applications, now supports dynamic resource tracking and
pre-baked queries that allow users to understand resource utilization and
optimize the Kubernetes Horizontal Pod Autoscaler (HPA) for efficient scale
without the risk of performance issues. Tuning the Kubernetes HPA with the Red
Sky Ops machine learning engine removes the guesswork from scale preparation. The
solution studies, replicates, and stress-tests Kubernetes applications and then
proactively deploys optimal configurations. The machine learning engine tunes
the Kubernetes HPA, ensuring that the optimized configurations are identified
and implemented to handle anticipated and real-time traffic spikes without
overprovisioning. Pod size and target utilization are constantly tested and
optimized, which ultimately results in better application performance and lower
costs.

Chorus.ai announced a new API and
integrations for Zapier and Slack to help to bring the power of Conversation
Intelligence (CI) to every enterprise system. The product enhancements bring
the power of CI into business intelligence tools like Tableau, Mode Analytics,
and Looker, and workflows used by world-class revenue teams today, allowing
them to harness the voice of the customer and deep conversation insights within
their own environments. These new offerings are only the latest product
enhancements from Chorus. In September, the company also launched enhancements
to the Chorus.ai portfolio. The solutions provide the information and guidance
needed to drive team performance, prevent revenue risks, and make better
strategic decisions.

Finastra announced the
availability of Fusion Data Cloud, a suite of solutions is designed to help
financial institutions improve customer engagement, grow revenue, digitize
processes for efficiency, and manage risk. Underpinned by the FusionFabric.cloud open
developer platform, Fusion Data Cloud provides
a data ecosystem. Supported by secure Microsoft Azure technology, Fusion Data
Cloud lets banks share their data with leading fintechs, as well as ingest data
from external data sources, to create innovative new data solutions in weeks
instead of months. The solution also offers actionable insights. It uses
artificial intelligence (AI) and machine learning (ML) algorithms to create
predictive and prescriptive analytics and delivery of real-time decision-making
and insights as a service.

AVEVA, a global leader in
engineering and industrial software, today announced that it has signed an
agreement to help accelerate Shell Global Solutions International B.V’s digital
transformational strategy by deploying AVEVA’s cloud software solutions.
Specifically, AVEVA will provide Shell with its Engineering Data Warehouse technology,
which is one of the building blocks of the digital twin. AVEVA’s Engineering
Data Warehouse will enable Shell through its Digital Twin to drive asset
reliability, enhance efficiency, and reduce unplanned downtime. The solution
will also support in providing actionable insights right from the site operator
to the Asset Leadership Team.

Dremio announced innovations that
deliver sub-second query response times directly on cloud data lakes and
support for thousands of concurrent users and queries. In addition, Dremio now
includes built-in integration with Microsoft Power BI, enabling
users to instantly launch the data visualization software from Dremio and
immediately start querying data via a direct connection. The latest Dremio
product release enables companies to run production BI workloads, including
interactive dashboards, directly on Amazon S3 and Azure Data Lake Storage
(ADLS) – without having to move data into data warehouses, cubes, aggregation
tables, or extracts. The new capabilities deliver simple, self-service access
to data and enable analysts to see results immediately, eliminating their
dependency on manual ETL processes or data engineering while reducing the costs
associated with data warehousing.

Schneider Electric announced a
partnership with EdgePresence
and Accu-Tech to deploy edge
points-of-presence (PoPs) to help businesses use edge computing. Through the
partnership, EdgePresence will nationally deploy edge data centers that include
a fully integrated Schneider Electric EcoStruxure Data Center solution. As the
IT distributor, Accu-Tech will simplify the deployment model to enable
increased speed-to-market. Working together to provide robust edge modules,
Schneider Electric, EdgePresence, and Accu-Tech will provide customers with the
connectivity needed to implement dynamic edge strategies in locations across
the U.S.

Amazon Web Services
announced the general availability of AWS Nitro Enclaves, a new Amazon EC2
capability that makes it easier to securely process highly sensitive data. AWS
Nitro Enclaves helps customers reduce the attack surface for their applications
by providing a trusted, highly isolated, and hardened environment for data
processing. Each Enclave is a virtual machine created using the same Nitro
Hypervisor technology that provides CPU and memory isolation for Amazon EC2
instances, but with no persistent storage, no administrator or operator access,
and no external networking. This isolation means that applications running in
an Enclave remain inaccessible to other users and systems, even to users within
the customer’s organization. With this isolation, the AWS Nitro Enclave owner
can start and stop or assign resources to an Enclave, but even the owner cannot
see what is being processed inside of AWS Nitro Enclaves.

IBM announced an expansion
of capabilities to offer businesses more flexibility when selecting where to
deploy workloads, including deployments on-premises, IBM public cloud, and hybrid
cloud. The new solutions include containerized software across IBM IT
Infrastructure via IBM Cloud Paks and advancements in data storage
for containers. The new offerings are designed to help clients implement a
hybrid cloud with IBM IT Infrastructure. They offer the ability to infuse AI
throughout the business and consolidate databases with IBM Cloud Pak
for Data, already available on IBM Power Systems, planned for November on
IBM Z. This will help businesses accelerate digital transformation and connect
cloud-native applications to existing workloads with IBM Cloud Pak for
Integration on IBM Z.

C3.ai, Microsoft,
and Adobe announced the launch of
C3 AI CRM powered by Microsoft Dynamics 365, an enterprise-class, AI-first
customer relationship management solution purpose-built for industries. It integrates
with Adobe Experience Cloud and drives customer-facing operations with
predictive business insights. Through the partnership, the companies have
agreed to integrate Microsoft Dynamics 365, Adobe Experience Cloud (including
Adobe Experience Platform), and C3.ai’s industry-specific data models,
connectors, and AI models, in a joint go-to-market offering designed to provide
an integrated suite of industry-specific AI-enabled CRM solutions including
marketing, sales, and customer service.

Siren announced the release
of Siren 11.0. The latest version of Siren is a major step forward in enabling
investigative teams to quickly conduct advanced Signal Intelligence (SIGINT),
Cyber Intelligence (CYBINT), and Open Source Intelligence (OSINT) investigations.
Previous versions of Siren focused on smaller teams and required the creation
of separate environments per use case; 11.0 introduces support for parallel
analyst teams to investigate data in segmented, case-specific data
environments. In addition, new functionality has been added, including advanced
support for Natural Language Processing (NLP) and the ability to spatially
track moving data points.

Rockwell Automation
introduced the first capability of its edge strategy with FactoryTalk Edge Gateway to simplify and accelerate IT/OT
convergence. FactoryTalk Edge Gateway’s data management capabilities result in
up to a staggering 70% reduction in analytics data preparation efforts for data
scientists or analysts while providing higher quality OT data. The underlying
common information data model is orchestrated by the unique Rockwell Automation
FactoryTalk Smart Object capability and can be efficiently mapped to
on-premises or cloud applications to generate predictive insights across the
enterprise. FactoryTalk Edge Gateway is designed to integrate with
best-in-class ecosystem solutions like Microsoft Azure and FactoryTalk
InnovationSuite, powered by PTC, and a variety of big data, IIoT, and cloud
applications.

If your
company has real-time analytics news, send your announcements to
ssalamone@rtinsights.com.

In case you missed it, here are our most recent previous
weekly real-time analytics news roundups:





Source link

______________________________________________________________________________________________

Get your CompTIA A+, Network+ White Hat-Hacker, Certified Web Intelligence Analyst and more starting at $35 a month. Click here for more details.

Leave a Reply