#application virtualization solution vendors

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The inception of social media in the last decade, increasing online presence of individuals and organization and high usage of smart and mobile devices for sending and exchanging information has generated a high amount of data for storage and analysis. This high amount of sensitive data generated is also vulnerable to losses. Company stores there critical data in the form of database and this databases are further stored in various virtual and physical storage devices and Data Centers.

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Increasing focuses on compliance adherence, exponential growth rate of data and wide availability of different type of flexible encryption solutions are some of the factors that are driving the database encryption market. High cost of encryption associated solutions and encryption key management are few of the reasons which may slow down the adoption of database encryption solutions among various industry verticals and domains. Increasing growth rate in requirement of cloud based encryption solutions in different industry verticals along with the high growth in requirement in small and mid-sized enterprises are expected to provide suitable opportunities for various market players that are operating in the global database encryption market.

The database encryption market is segmented on the basis of type into column level encryption, file-system encryption, key management, application-level encryption and transparent/external database encryption. The database encryption market is also divided on the basis of end users into small and medium enterprises and large enterprises. The database encryption market is also segmented on the basis deployment types into On-premise and cloud deployment. The database encryption market is segmented by different industry vertical into IT & telecommunication, banking, financial services and insurance (BFSI), government and public sector, retail and e-commerce, aerospace and defense, healthcare and others. The global database encryption market is bifurcated on the basis of regions into North America, Europe, Asia Pacific, South America and Middle East & Africa.

North America holds one of the largest share in the global database encryption market. High technical adoption trends among various industry verticals and business in North American region has fueled the growth of the North American database encryption market. Asia Pacific is one of the fastest growing database encryption market and provides lucrative opportunity for various solutions vendors, high volume of data generation and its security requirements along with the growing adherence towards the regulatory compliances are some of the factors that are driving the Asia Pacific database encryption market.

Some of the key players operating in the global database encryption market are Intel Security (Mcafee), Microsoft Corporation, International Business Machines Corporation, Symantec Corporation, Netapp, Hewlett-Packard Company, Sophos, Vormetric, Oracle Corporation and Gemalto among others.

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The market for artificial intelligence (AI) technologies is flourishing. Beyond the hype and the heightened media attention, the numerous startups and the internet giants racing to acquire them, there is a significant increase in investment and adoption by enterprises. A Narrative Science survey found last year that 38% of enterprises are already using AI, growing to 62% by 2018. Forrester Research predicted a greater than 300% increase in investment in artificial intelligence in 2017 compared with 2016. IDC estimated that the AI market will grow from $8 billion in 2016 to more than $47 billion in 2020.

Coined in 1955 to describe a new computer science sub-discipline, “Artificial Intelligence” today includes a variety of technologies and tools, some time-tested, others relatively new. To help make sense of what’s hot and what’s not, Forrester just published a TechRadar report on Artificial Intelligence (for application development professionals), a detailed analysis of 13 technologies enterprises should consider adopting to support human decision-making.

Based on Forrester’s analysis, here’s my list of the 10 hottest AI technologies:

Natural Language Generation: Producing text from computer data. Currently used in customer service, report generation, and summarizing business intelligence insights. Sample vendors: Attivio, Automated Insights, Cambridge Semantics, Digital Reasoning, Lucidworks, Narrative Science, SAS, Yseop.

Speech Recognition: Transcribe and transform human speech into format useful for computer applications. Currently used in interactive voice response systems and mobile applications. Sample vendors: NICE, Nuance Communications, OpenText, Verint Systems.

Virtual Agents: “The current darling of the media,” says Forrester (I believe they refer to my evolving relationships with Alexa), from simple chatbots to advanced systems that can network with humans. Currently used in customer service and support and as a smart home manager. Sample vendors: Amazon, Apple, Artificial Solutions, Assist AI, Creative Virtual, Google, IBM, IPsoft, Microsoft, Satisfi.

Machine Learning Platforms: Providing algorithms, APIs, development and training toolkits, data, as well as computing power to design, train, and deploy models into applications, processes, and other machines. Currently used in a wide range of enterprise applications, mostly `involving prediction or classification. Sample vendors: Amazon, Fractal Analytics, Google, H2O.ai, Microsoft, SAS, Skytree.

AI-optimized Hardware: Graphics processing units (GPU) and appliances specifically designed and architected to efficiently run AI-oriented computational jobs. Currently primarily making a difference in deep learning applications. Sample vendors: Alluviate, Cray, Google, IBM, Intel, Nvidia.

Decision Management: Engines that insert rules and logic into AI systems and used for initial setup/training and ongoing maintenance and tuning. A mature technology, it is used in a wide variety of enterprise applications, assisting in or performing automated decision-making. Sample vendors: Advanced Systems Concepts, Informatica, Maana, Pegasystems, UiPath.

Deep Learning Platforms: A special type of machine learning consisting of artificial neural networks with multiple abstraction layers. Currently primarily used in pattern recognition and classification applications supported by very large data sets. Sample vendors: Deep Instinct, Ersatz Labs, Fluid AI, MathWorks, Peltarion, Saffron Technology, Sentient Technologies.

Biometrics: Enable more natural interactions between humans and machines, including but not limited to image and touch recognition, speech, and body language. Currently used primarily in market research. Sample vendors: 3VR, Affectiva, Agnitio, FaceFirst, Sensory, Synqera, Tahzoo.

Robotic Process Automation: Using scripts and other methods to automate human action to support efficient business processes. Currently used where it’s too expensive or inefficient for humans to execute a task or a process. Sample vendors: Advanced Systems Concepts, Automation Anywhere, Blue Prism, UiPath, WorkFusion.

Text Analytics and NLP: Natural language processing (NLP) uses and supports text analytics by facilitating the understanding of sentence structure and meaning, sentiment, and intent through statistical and machine learning methods. Currently used in fraud detection and security, a wide range of automated assistants, and applications for mining unstructured data. Sample vendors: Basis Technology, Coveo, Expert System, Indico, Knime, Lexalytics, Linguamatics, Mindbreeze, Sinequa, Stratifyd, Synapsify.

There are certainly many business benefits gained from AI technologies today, but according to a survey Forrester conducted last year, there are also obstacles to AI adoption as expressed by companies with no plans of investing in AI:

There is no defined business case: 42%

Not clear what AI can be used for 39%

Don’t have the required skills 33%

Need first to invest in modernizing data mgt platform 29%

Don’t have the budget 23%

Not certain what is needed for implementing an AI system 19%

AI systems are not proven 14%

Do not have the right processes or governance 13%

AI is a lot of hype with little substance 11%

Don’t own or have access to the required data 8%

Not sure what AI means 3%

SEPTEMBER SPOTLIGHT: LIGHT POLYMERS’ GROWBLADE™ FLAT PANEL LIGHTS FOR VERTICAL FARMING

Light Polymers is the newest horticultural LED grow light maker on the market, but at Agritecture we’ve been tracking their innovation since we first met nearly one year ago at a LARTA Institute event in Los Angeles.

After closing a multi-million dollar strategic funding deal, Light Polymers is now announcing its first GrowBlade™ flat-panel LED grow lights, designed for vertical farming and other controlled environment applications. We’re excited to introduce them as Agritecture’s featured Sponsor for September and to highlight their new GrowBlade lights in the +Farm demo at our offices during NYC AgTech Week.  We interviewed Sandor Schoichet, VP of Grow Products at Light Polymers, to learn more. 

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