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on January 6, 2022 at 12:30 pm

Voice and vision AI tech firm Sensory has introduced a new cloud-based platform for companies seeking its biometric and speech recognition tools developed. The beta version SensoryCloud.ai released this week is a notable departure from the companys history of on-edge processing, without the use of cloud servers.

SensoryCloud offers a handful of voice and visual AI services as APIs or SDKs. Customers can add speech-to-text, sound identification, wake word confirmation, and biometric verification by face or voice, with others to follow. The solutions are not enormously different from what Sensory has provided before, except for where and how the data is processed.

Sensory is known for its VoiceHub platform where clients could create custom wakewords and voice commands to install on smart devices. Sensorys TrulyHandsfree technology powers the devices and software built by those choosing to avoid Amazon Alexa or Google Assistant in favor of a unique option of their own. There has been plenty of demand for Sensorys tech and the company has pushed out new features and capabilities to entice even more over the last couple of years. Zoom tapped Sensory in July to help shift its voice command system away from the cloud. Sensory further widened VoiceHubs abilities by adding models designed to understand children in October. Sensory even developed voice and facial biometric tools for those with a cold and wearing a mask early on in the COVID-19 pandemic.

The cloud platform doesnt have some of the latency and privacy benefits of on-edge processing, but it offers other compensations that Sensorys clients may prefer. By running the data processing in the cloud, the clients have far more control over how to deploy its AI features and can access and analyze the resulting data to learn what customers want or discover gaps in its services. The API system is also more familiar to many programmers. And Sensory claims it doesnt diminish the capabilities of its software. The speech-to-text program claims a word error rate under 5% and the wake word verification wipes out up to 90% of false awakenings compared to rival options.

We have a history of building fast and accurate AI models, and we paired this capability with some of the brightest and freshest minds in the cloud industry, Sensory CEOTodd Mozer said. The result is a hybrid cloud platform that uses state-of-the-art AI to address customers unique needs for control, flexibility, cost, accuracy, reliability, features, latency, and privacy.

Zoom Rooms Integrate Sensorys On-Device Processing for Voice Commands

Sensory Debuts Child Speech Models for Kid-Focused Voice AI Developers

Sensorys New VoiceHub Platform Offers Quick Custom Wake Word Creation

Eric Hal Schwartz is Head Writer and Podcast Producer for Voicebot.AI. Eric has been a professional writer and editor for more than a dozen years, specializing in the stories of how science and technology intersect with business and society. Eric is based in New York City.

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Sensory Extends Voice and Visual AI Platform to the Cloud - Voicebot.ai

As organisations in every industry shift infrastructure and services to the cloud by means of a multi-cloud strategy, their business assets, software and applications become distributed across several cloud-hosting environments.

By Kumar Vaibhav, solution architect at In2IT

Despite the many business benefits including agility, flexibility, competitive pricing, scalability, and reliance, to list a few there are several hurdles that must be addressed when adopting cloud across the business. It can be particularly tricky securing a plethora of clouds due to a lack of visibility across services and providers.

With multiple clouds comes multiple layers of risk, such as an increased attack surface, improper user management, constantly shifting workloads, DevOps and automation, all of which can get complicated.

Multiple cloud benefits

However, cloud security shouldnt be as complicated as it has become. Despite cloud having been around for more than a decade, there is still this perception that it is new technology, which makes people uncomfortable.

Cloud is many things, including scalable, reliable and cost-effective, but its no longer new. While on-premise security and own data centres is what most organisations think they need to secure their digital assets, the reality is that this is no longer sustainable its time-consuming and cost-intensive to operate and manage, particularly in comparison to the cloud.

Security must meet in the middle

So how does cloud security compare to on-premise security? Essentially, there isnt that much difference. Its easy to think that on-premise is more secure because one has direct control over all the servers, systems and data living in that data centre.

However, its important to remember when moving to the cloud that all cloud service providers, like Microsoft, Bing and Amazon all have their own security measures in place. The main concern that businesses have when it comes to moving data to the cloud is that theyre uncertain where it will live, but realistically, its possible to have the same controls in the cloud as with on-premise security.

The two go hand-in-hand and security in the cloud is a responsibility that must be shared between the cloud service provider and the customer, depending on the service theyre using.

The service provider has to ensure (in line with the SLA) that customer data is safe in their cloud, while the customer has to ensure everything in their cloud up to the point where it onramps to the service provider is secured and that their users are properly managed.

Users are the weakest link in security

Proper user management is particularly important now that the workforce is split between working at home, in the office or out in the field as 80% to 90% of all cyber breaches or attacks happen because of users.

Whether it is users being tricked into giving out credentials, or credentials being compromised by exploiting vulnerabilities, the effect is the same, making it critical to implement and utilise Multi-Factor Authentication (MFA) as part of a stringent Identity Management Program.

Password sniffing or spoofing is easy, and there are thousands of ways that attackers can gain unauthorised access to data, but having MFA drastically reduces the chances of getting defrauded from the inside. In addition to MFA, its necessary to have a proper access control program in place. Role-based access is one of the most important keys to preventing data leaks.

Here, its important that not everyone gets the same level of access, and specific users must be granted only the permissions necessary to fulfil their job description.

Countering the DevOps risk

Securing web-based applications to ensure theyre not used as attack vectors is as simple as proper testing. One of the main problems with the DevOps approach thats becoming increasingly popular because of the agility it enables is that the fast pace of work can lead to an increase in coding mistakes, which can result in undetected bugs and errors.

Attackers can exploit these coding mistakes to gain access to digital assets. To counter this risk, it is necessary to pay more attention to thorough vulnerability testing on the web app continuously while following best practices for maps. Although penetration testing can be expensive, this cost needs to be evaluated against the real possibility that a single breach can cause untold damage, both reputational and financial.

Protecting against network threats and vulnerabilities in the cloud isnt much different to securing web apps, and its important to ensure that all applications and operating systems are up to date in terms of security patches, along with proper access control through a firewall and a secure perimeter.

Access must be on a needs basis only, and when vulnerabilities are detected, these must be addressed as soon as possible. In the case of virtual machines, its important to have the appropriate security controls and to pay particular attention to endpoint hygiene. Theres no point in having antivirus protection, or a firewall if its incorrectly configured, malfunctioning or not reporting properly.

Visibility through simplification

Secure Access Service Edge (SASE), as defined by Gartner, can make a difference here.

SASE is a security framework specifying that security and network connectivity technologies should come together in a single cloud-delivered platform to enable rapid, secure cloud transformation. In addition to providing a singular point through which services are delivered to the client, this also streamlines network access and security measures, while eliminating operational complexity by reducing the number of vendors involved and helping to protect the business from third-party vulnerability.

This plays a massive role in achieving visibility and transparency in cloud environments, along with the fact that public cloud providers generally have their own compliance requirements to meet such as ISO 20 001, PCI, DSS and HIPAA all of which can be passed onto the customer.

Secure the data wherever it goes

Ultimately, the most effective approach to securing anything in the cloud will be one that focuses on securing data both in transit and in motion.

Asset protection is important, and visibility is critical given the scalability and flexibility of the cloud. Endpoint protection is required to secure servers or workstations or any machine in the cloud, along with operational security which ensures that when any changes are made, these occur without accidentally opening system loopholes.

Monitoring is just as vital, along with vulnerability and penetration testing. Finally, to ensure security and continuity, businesses should avoid putting all their eggs into a single cloud basket. Using multiple clouds ensures that if one goes down, theres another ready to take its place and ensure security through business continuity.

Related

Read more:
Multi-cloud security doesn't have to be complicated, just consistent - IT-Online

CHICAGO, Jan. 12, 2022 /PRNewswire/ -- According to a research report "Streaming Analytics Market with COVID-19 Impact Analysis, by Component, Application (Supply Chain Management, Sales & Marketing, and Fraud Detection), Industry Vertical, Deployment Mode, Organization Size, and Region - Global Forecast to 2026", published by MarketsandMarkets, the streaming analytics size is projected to grow from USD 15.4 billion in 2021 to 50.1 USD billion in 2026, at a Compound Annual Growth Rate (CAGR) of 26.5% during the forecast period.

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The Streaming analytics industry is driven increased digitalization and emerging technologies such as big data, IoT, and AI to drive the market growth. However, Strategic shift toward real-time accurate forecasts and rising data connectivity through hybrid and multi-cloud environments further contributes to the growth of the Streaming Analytics Market.

Browse in-depth TOC on "Streaming Analytics Market"

348 Tables 61 Figures 342 Pages

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Based on the Component, software segment to account for a larger market size during the forecast period

The Streaming Analytics Market has been segmented by two components: software and services. The deployment of streaming analytics has witnessed an increase in adoption, as serves a variety of purposes, such as fraud detection and risk management. The growing adoption of streaming analytics across all major verticals, such as BFSI, Telecommunication and IT, Retail and eCommerce, Healthcare and Life Sciences, Manufacturing, Government, Energy and Utilities, Transportation and Logistics, Media and Entertainment, Other Verticals (travel & hospitality and education).

Based on deployment mode, cloud segment to grow at a higher CAGR during the forecast period

Cloud computing refers to the storage, management, and processing of data via networks of remote servers, which are typically accessed via the Internet. According to Statista, cloud computing would generate more than USD 300 billion in revenue in 2020 as a component of IT services. At the same time, PwC shows the COVID-19 crisis has accelerated the cloud transition even further as per data during the first quarter of 2020, cloud spending increased by 37% to USD 29 billion. The increasing generation of data leads to various challenges for several organizations. These challenges include storage, privacy, and affordability.

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Based on application, Location Intelligence segment to hold the largest market size during the forecast period

The Streaming Analytics Market based on application is segmented into Fraud Detection, Sales and Marketing, Predictive Asset Management, Risk Management, Network Management and Optimization, Location Intelligence, Supply Chain Management, Other Applications (product innovation and customer management). Streaming analytics combines geospatial, graph, and business analytics into a single platform purpose-built for performance and scale. GIS creates maps that can be accessed through a mobile app or software service. These maps incorporate imagery, coordinates, and spreadsheets, among other data layers that use spatial location. Streaming analytics can be used to examine the data, which can subsequently be released via an app or other user access point. Location intelligence (LI), which could be defined as the successor to GIS, is being driven in part by advances in streaming analytics. It is a significant advancement over GIS since it supports real-time data streams and large datasets, as well as new methods for evaluating stream data.

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Based on cloud type, Hybrid Cloud segment to grow at a higher CAGR during the forecast period

A hybrid cloud is a cloud computing environment that is a mix of both public cloud and private cloud. It helps organizations enhance their data centers by deploying data on a multi-cloud platform. Various benefits, such as agility, scalability, and cost optimization features, are boosting the adoption of hybrid cloud analytics solutions in the global cloud analytics market. Enterprises are adopting hybrid cloud as it helps them overcome complexities related to the traditional IT environments.

Based on vertical, the Energy and Utilities segment is expected to grow at a higher CAGR during the forecast period

Streaming analytics are gaining acceptance among all verticals to improve profitability and reduce overall costs. The major verticals adopting streaming analytics software are BFSI, Telecommunication and IT, Retail and eCommerce, Healthcare and Life Sciences, Manufacturing, Government, Energy and Utilities, Transportation and Logistics, Media and Entertainment, Other Verticals (travel & hospitality and education). Energy and utilities, by vertical segment, is expected to grow at a higher CAGR during the forecast period

Based on organization size, SMEs segment to grow at the highest CAGR during the forecast period

The SMEs are organizations with an employee strength of less than 1,000. SMEs are also implementing streaming analytics software that enable better orientation in the complex building providing streaming-based analytics and tracking functionalities. SMEs are also implementing streaming analytics, which enables companies to adopt the analytics of data streaming and sensor data from grids to provide real-time insights on operational performance. The adoption of new technologies tailored to streaming analytics environments has helped companies identify the broad risk areas under various functional units, such as supply chain operations for product delivery.

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North America to hold the largest market size during the forecast period

North America is estimated to account for the largest market share during the forecast period. In North America, sales and marketing and location intelligence are considered highly effective by most organizations and verticals. On the other hand, Europe is gradually incorporating these advanced solutions within its enterprises. APAC is witnessing a substantial rise in the adoption of streaming analytics owing to the increasing digitalization and rising demand for centrally managed systems.

Major Streaming Analytics Market vendors include IBM (US), Google (US), Oracle (US), Microsoft (US), SAS (US), SAP (Germany), Cloudera (US), Teradata (US), TIBCO (US), AWS (US), Software AG (Germany), Informatica (US), Impetus (US), HPE (US), Intel (US), Iguazio (Israel), Conviva (US), Axonize (Israel), Adobe (US), Altair (US), Mphasis (India), Striim (US), INTECO (Canada), WSO2 (US), SQLstream (US), EsperTech (US), Materialize (US), StarTree(US), Crosser (Sweden), Quix (UK), Lenses (UK), BangDB (India), Imply (US), Coralogix (US), Ververica (US), StreamSets (US). These market players have adopted various growth strategies, such as partnerships, collaborations, and new product launches, to expand have been the most adopted strategies by major players from 2019 to 2021, which helped companies innovate their offerings and broaden their customer base.

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Related Reports:

Video Analytics Market with COVID-19 Impact, by Component, Application (Intrusion Management, Incident Detection, People/Crowd Counting, Traffic Monitoring), Deployment Model (On-premises and Cloud), Type, Vertical, and Region - Global Forecast to 2026

Big Data Market by Component, Deployment Mode, Organization Size, Business Function (Operations, Finance, and Marketing and Sales), Industry Vertical (BFSI, Manufacturing, and Healthcare and Life Sciences), and Region - Global Forecast to 2025

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Our 850 fulltime analyst and SMEs at MarketsandMarkets are tracking global high growth markets following the "Growth Engagement Model GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

MarketsandMarkets's flagship competitive intelligence and market research platform, "Knowledge Store" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.

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Mr. Aashish MehraMarketsandMarkets INC.630 Dundee RoadSuite 430Northbrook, IL 60062USA: +1-888-600-6441 Email: sales@marketsandmarkets.com Research Insight: https://www.marketsandmarkets.com/ResearchInsight/streaming-analytics-market.asp Visit Our Website: https://www.marketsandmarkets.com Content Source: https://www.marketsandmarkets.com/PressReleases/streaming-analytics.asp

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Major Five Data Center Companies:

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Data Center Market Component Outlook (Revenue, USD bn, 2020-2025)

The data center market share growth by the IT infrastructure segment will be significant during the forecast period. Datacenter information technology (IT) infrastructure comprises all IT equipment, infrastructure, and solutions required to set up or scale a data center. The use of such IT infrastructure is rising due to the increase in demand for computing power and storage to support the growth in global data traffic. Enterprises globally have embraced cloud technologies and are moving their data from on-premises data centers to cloud-based data centers. This trend is expected to continue during the forecast period to create the demand for servers and storage infrastructure, and other IT equipment.

Data Center Market Geography Outlook (Revenue, USD bn, 2020-2025)

The data center market is expected to be dominated by North America during the forecast period. The US is the key country for the data centers market in the region. Market growth in this region will be slower than the growth of the market in Europe, APAC, and South America. The increasing adoption of cloud services by enterprises across industries in the US and Canada will drive the data center market growth in North America during the forecast period.

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Data Center Market Scope

Report Coverage

Details

Page number

120

Base year

2020

Forecast period

2021-2025

Growth momentum & CAGR

Accelerate at a CAGR of 21%

Market growth 2021-2025

USD 519.34 billion

Market structure

Fragmented

YoY growth (%)

18.30

Regional analysis

North America, APAC, Europe, South America, and MEA

Performing market contribution

North America at 35%

Key consumer countries

US, China, UK, Australia, Japan, and Germany

Competitive landscape

Leading companies, Competitive strategies, Consumer engagement scope

Companies profiled

Alphabet Inc., Amazon.com Inc., Cisco Systems Inc., Equinix Inc., Microsoft Corp., NTT DATA Corp., Oracle Corp., SAP SE, Huawei Investment & Holding Co. Ltd., and International Business Machines Corp.

Market Dynamics

Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and future consumer dynamics, Market condition analysis for the forecast period

Customization purview

If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.

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Technavio is a leading global technology research and advisory company. Their research and analysis focuson emerging market trends and provide actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

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Technavio ResearchJesse MaidaMedia & Marketing ExecutiveUS: +1 844 364 1100UK: +44 203 893 3200Email:[emailprotected]Website:www.technavio.com/

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Data Center Market to Grow by USD 519.34 Bn | Adoption of Multi-cloud and Network Upgrades to Support 5G will Drive Growth | Technavio - PRNewswire

Published on January 12, 2022

Authored by Nilesh Gupta, Head of CloudFirst & Edge Services, 3i Infotech

We had a lot to learn around us from last two years. We became even more close to our family and friends, celebrated new heroes outside our work environments and of course WFH became the most used abbreviated word in English for many enterprises, the impact of Covid-19 has brought the benefits and limitations of their IT landscape into the open. Some were ready to ensure there is no impact at all, but many struggled and learnt the hard way. As companies look ahead to a post-pandemic era, many will need to consider how to meet unique needs and priorities with potentially limited resources with WFH being the new norm.

In my many discussions with various stakeholders at these companies many are still overly reliant on legacy infrastructure and business models that still needs to be addressed to ensure any kind of acceleration to cloud journey. While it is especially important, they need to develop a proactive strategy that explores the use of cloud (hybrid or multi) and how to transition away from legacy systems towards modern technologies to embrace the digital podium, it is equally important for a partner to ensure the adoption acceleration is seamless and successful in the end.

It is important to engage with a cloud lifecycle management services partner for existing and new enterprises to transform their technology to the cloud faster and without risk. Today, industry-leading automation delivers 10x acceleration with complete ease, governance, efficiency, and fine-grained control of multi-cloud environments based on customers business and IT ecosystem. Efficient transformational partners use their global delivery capabilities and strong partnerships with established doyens in the space such as Oracle (OCI), Amazon (AWS) and Microsoft (Azure) to deliver cloud computing services that help organizations enjoy substantial reduction in CapEx across hardware, licensing, and software. With the increased agility and flexibility offered by cloud computing services, your organization will be able to cut OpEx costs like cooling and power supply, and build affordable, tested business continuity and disaster recovery plans. A suitable service provider needs to provide a wide choice of engagement models shared, hybrid, SLA-based, and project-based, that help organisations to experiment and innovate.

Broadly speaking there are three dimensions to cloud adoption journey:

1. Discover the Apps & IT Infrastructure: In this phase, there is a 360O analysis of the infrastructure and application to map the dependencies and existing workload performance. We will need to ensure there is full hierarchical view of the application and its dependencies that will help ease easy migration, asset management, and any compliance needs. So, answers to some of the typical questions like below will be addressed during the deep discovery phase:

It is in this phase that as a partner with a single comprehensive cloud management platform will help build a roadmap for the readiness, prepare an automated discovery plan for the business environment, create a set of cloud transformation sprints, and then formulate the structured road map to address the subsequent sprints to comprehend what should be considered for cloud transformation.

2. Accelerate Cloud Migration: Typically, in cloud migration phase, it is known to be fraught with complications and tedious tasks. The objective is to facilitate a seamless migration of the existing on-prem workloads to hybrid or multi-cloud environments with an aim to provide uninterrupted services to end-users. Be it migration of monolithic applications into a hosted cloud environment or housing them in containers, the virtual resources need to be available in minutes as well as manage deployments across multiple cloud-providers such as public, private and hybrid at the same time.

It is in this phase, the transformational partner, with a 360O overview of the application, and the cloud management platform, identifies the required virtual infrastructure (OS, supporting software, servers, network) and get the target cloud environment ready. This simple step accelerates the migration and achieves faster time-to-market and optimised cost to migrate.

3. Continuous Optimization and Management: One major concern post cloud adoption is to accommodate for high availability of the applications round the clock. What is needed is to have a full-stack visibility across the required platforms by factoring in unforeseen demands and failure scenarios. Multi-cloud application monitoring is rendered in a detailed and effective method by gathering cloud-specific insights. Artificial Intelligence for IT operations is the critical change in basic assumptions that is required to manage these digital transformation issues.

While ensuring round the clock availability of cloud environment, it is equally important to optimize cloud costs. One needs to ensure the reporting of cloud usage at the application and services level, dynamic scaling up and down of cloud resources, and intelligent rebalancing of workloads are available on real time basis. It helps you stay ahead of the cloud expenses by providing comprehensive chargeback / reports on resource consumption and enables to cut costs by making recommendations based on the actual usage. Be it public, hybrid or multi-cloud, periodic analysis of cloud usage and associated costs needs to be conducted to prevent overspending.

It is important to note that a comprehensive single cloud management platform helps customers broadly in these three dimensions and in accelerating the cloud adoption journey seamlessly.

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Post Pandemic: Cloud Adoption Needs to Be Accelerated - APN News