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Immersion Neuroscience Index Reveals the Public Craves Direction From Its Elected Leaders, Not Celebrities, During a Crisis – Business Wire

LOS ANGELES--(BUSINESS WIRE)--Immersion Neuroscience, the worlds most advanced predictive software company unlocking neuroscience to measure what people love, announced today a new Immersion Index revealing people's reaction to celebrities vs. elected officials communications about the current COVID-19 pandemic.

Immersion researched the most effective way to share information with the public about coronavirus. This new study compares celebrities and their social media messages with elected officials.

The best way to determine if communication is effective is to measure how well it "sticks" in the brain. Science has established that when the brain is immersed in information, it is remembered, shared with others, and acted on. Highly immersive information is what will reduce the spread of the coronavirus and save lives, said Dr. Paul J. Zak, Founder of Immersion.

The research study: Immersion asked participants to turn on their Apple watches or other wearable sensors and emailed them six videos to view online. The videos ran for one-and-a-half to two minutes and featured President Trump; Vice President Pence, who leads the White House Coronavirus Task Force; Dr. Anthony Fauci, who leads the National Institute of Allergy and Infectious Diseases and is a member of the Coronavirus Task Force; Georgia Governor Brian Kemp; singer Cardi B; and actor and former governor of California Arnold Schwarzenegger, all speaking about the coronavirus outbreak.

The study revealed that communication about coronavirus by government leaders is significantly more effective than a celebrity rant or an offbeat video with miniature horses, for example.

The Immersion platform aggregated neurologic responses and returned an average Immersion value from 1-10 for each video.

Immersion Index results for communication effectiveness are:

Vice President Pence generated neurologic immersion that was 48% higher than the next most immersive speakers, a tie between President Trump and Governor Kemp. Dr. Fauci was a close third at 53% less immersive, while Arnold and Cardi B were at the bottom of the list at 61% and 64% less immersive than Mr. Pence.

The results show that fact-based videos from elected officials delivered without theatrics were significantly more immersive, meaning these are more likely to motivate actions by citizens.

We salute celebrities for reminding the public to be safe. But, when times are tough, this study shows that brains know that experts provide the most valuable information. If you ask people which videos they "like" or find "entertaining," they will choose the stars over the experts. Extensive research has shown that "liking" has no relationship to what people do. In this time of crisis, action is what matters. That is why measuring neurologic immersion is so important, said Immersion CEO Scott Brown.

Fifteen years of peer-reviewed research has proven that when the brain produces a specific set of unconscious responses called "immersion," it identifies an experience as valuable.

Immersions proprietary solution and software is the world's most accurate way to measure the brain's unconscious emotional responses to virtually any type of content whether its video, music, live events, training, educational resources and more. Developed by distinguished research scientists, Immersions simple-to-use and scalable predictive SaaS platform democratizes neuroscience so that anyone can measure what people love at scale.

The Immersion platform is unique in its ability to perform distributed neuroscience, which becomes essential at a time when the world is sheltering in place. Immersion measures brain responses anyplace that people are using a mobile app that sends data to cloud servers. Algorithms developed by Immersion scientists infer brain activity from a small wearable sensor.

To learn more about Immersion, visit http://www.getimmersion.com.

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Immersion Neuroscience Index Reveals the Public Craves Direction From Its Elected Leaders, Not Celebrities, During a Crisis - Business Wire

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The global malware analysis market was valued at US$ 2.55 Bn in 2018 and is expected to grow at a CAGR of 29.2% during the forecast period 2019 -…

New York, March 18, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Malware Analysis Market to 2027 - Global Analysis and Forecasts By Component ; Organizational Size ; Deployment ; Industry Vertical" - https://www.reportlinker.com/p05875886/?utm_source=GNW The increasing vulnerabilities, advancements in digital transformation, and others are making a substantial impact on the malware analysis market. The cyber attackers are finding new ways of attacking systems by enhancing their attack capabilities, resulting in increased sophistication of malware attacks, which is a crucial factor driving the malware analysis market.

Application of machine learning (ML) in deep learning (DL) is gaining immense attraction for malware classification from academia and industry.ML antimalware software cannot be customer-driven, as a customer PC or mobile device is exposed to limited and smaller samples of malware.

Proper ML requires Big Data processing as well as cloud-based systems. Presently, cloud servers are far cheaper and easily available, so ML malware analysis is expected to become more accessible than before.

With proliferation in remote and mobile work, and Bring-Your-Own-Device (BYOD) trend, the hackers have expanded their target from a few employees to the entire network with the help of private mails.Furthermore, as the enterprises continue to make strategic shift to cloud, they have raised the demand for new and innovative methods to enhance the security of their networks.

These included, encryption, email archiving solutions, URL Defense, and mobile defense among others. Also, as the diversity in whereabouts of the employees continue to expand, the companies are expected to invest in robust security measures driving the growth of malware analysis tool market.

The most prominent region in global malware analysis market in 2018 accounted for North America, followed by Europe and Asia Pacific.Middle East and Africa, and South America held the fourth and fifth position in terms of market shares in malware analysis market.

According to Recorded Future, a cyber-security company, the US government agencies are witnessing rise in the number of targeted ransomware attacks.Since 2013, the company has listed ~170 ransomware incidents on state and local governments.

Further, hospitals in the country also noticed rise in the number of targeted ransomware attacks in 2019.The rise in number of attacks caused major disruptions, operational as well as financial impacts for governments and hospitals across the country.

In October 2019, CNN reported that ~140 local governments, hospitals, and police stations, were attacked by ransomware since January 2019.

The overall malware analysis market size has been derived using both primary and secondary source.The research process begins with exhaustive secondary research using internal and external sources to obtain qualitative and quantitative information related to the malware analysis market.

It also provides the overview and forecast for the global malware analysis market based on all the segmentation provided with respect to five major reasons such as North America, Europe, Asia-Pacific, Middle East & Africa, and South America.Also, primary interviews were conducted with industry participants and commentators in order to validate data and analysis.

The participants who typically take part in such a process include industry expert such as VPs, business development managers, market intelligence managers, and national sales managers, and external consultants such as valuation experts, research analysts, and key opinion leaders specializing in the malware analysis industry. The major companies operating in the malware analysis market globally includes AT&T Inc., AO Kaspersky Lab, Broadcom, Inc., Cisco Systems, Inc., CrowdStrike Holdings Inc, FireEye, Inc., Fortinet, Inc., Palo Alto Networks, Inc., Qualys, Inc., and Trend Micro Incorporated, among others.Read the full report: https://www.reportlinker.com/p05875886/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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Pushing the cloud to the limit, with UKFast’s Chris Folkerd – Techerati

We talk to the UKFast director about the UK cloud landscape and how companies can maximise efficiencies, protect critical data and ensure cloud costs are kept under control

Chris Folkerd is Director of Enterprise Technologies at UK cloud hosting company UKFast. Conceived in the bedroom of a tiny flat just off Manchesters Oxford Road over twenty years ago, UKFast has grown into a multi-million-pound business which, via its five UK data centres, hosts the critical infrastructure of a raft of big-name organisations, including Chester Zoo and the NHS.

As UKFast is such a pivotal figure in the UK cloud market, the company provides a useful barometer of the state of the nations cloud investments. Folkerd described the UK cloud market as vibrant and told me that strong uptake has now matured to wholesale adoption across the board.

This adoption is translating into greater maturity, he said. Companies are increasingly asking about containers and security, and have become more clued up about service providers and compliance obligations.

People are asking a lot about what containers are, how they can benefit business, or if the business is a bit further along its journey, how containers can be implemented alongside, or as an alternative to, traditional virtualised platforms, he added.

When it comes to security, Folkerd said customers are asking more questions about the security of UKFasts underlying architecture and infrastructure, and how they can go about reinforcing the security of their applications.

Despite growing maturity, Folkerd cautioned a lot of customers are still failing to get the most from cloud investments. He said enthusiasm about cloud should always be tempered by aligning adoption to business goals.

We like to keep customers focussed on achieving the end goal, rather than having a specific piece of buzzword technology they want to adopt or adopting lots of different services just because theyve read that theyre the next big thing, he said.

Another issue is that many companies are not picking cloud billing models that fit their needs, whether fixed monthly cost or elastic scaling.

While initial calculations may appear cost-effective, businesses can end up spending a lot more than initially planned when load and utilisation are factored in. For instance, if a customer on a PAYG model experiences rogue SQL queries which get stuck in a loop on a database server, it could cost them 50,000 overnight.

Making sure you pick the right providers means doing your research and working in consultation with them to choose the right technologies and then writing your code in a way that efficiently utilises those resources, Folkerd added.

There are lots of different ways of doing things in the cloud and its about making sure the one you adopt works for you, does what you need and is the most efficient. Having the right technology platform makes a big difference. It sounds obvious, but businesses get it wrong on a regular basis.

Another key piece of education Folkerd has for businesses is ensuring the cloud software stack is optimised for the hardware it sits on.

The first risk is efficiency. If hardware and software are not in sync, it can lead to wasted compute resources. Its not just about cost, but security, too. Folkerd said its crucial organisations have a full-stack view when developing in the cloud and work closely with providers to plug any gaps.

We always say security is a partnership. You can be sitting on the most secure, world-class infrastructure, but if your code is weak or poorly written, hackers will get in. Having a partnership around security, around resource provisioning, around technology and around APIs will help you get the most out of your platform.

Despite the rising popularity of cloud-native development and deployment, to take advantage of clouds potential in the coming decade, Chris said its still vital that organisations maintain a broad range of tech skillsets.

The popular skills at the moment are around serverless compute for rapid, dynamic, scalable applications and DevOps, he said. But at the same time, probably 80 percent of the code base out there isnt cloud native. So its really a spread bet across the entire tech spectrum.

One of Folkerds key messages for end-uses is around what he calls catastrophobia mitigating the dangers of outages with disaster recovery and ensuring applications are designed with high-availability in mind whether thats local site in the event of hardware failure, geographic resilience, or for performance capabilities when serving customers in different locations.

Theres a lot of different strategies out there and lots of different vendors offering different solutions. Have a chat with our UKFast teamto make sense of the different options best for you.

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Pushing the cloud to the limit, with UKFast's Chris Folkerd - Techerati

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Memo to MSPs: Is There A Safe Way to Visit Customer Offices? – ChannelE2E

by Joe Panettieri Mar 18, 2020

Updated March 19, 1:55 a.m. ET: Sometimes in my rush to offer guidance, I type too quickly and think too little. Amid that realization, Ive added this new intro to the blog. And the new intro is simply this: Work from home (WFH). Figure out a way to do so.

My earlier advice trying to figure out a way to safely offer on-site IT support at customer offices was flawed. Instead of risking engineer infections with on-site support, study the math: Keeping your engineers working from home boosts your own long-term business continuity, even if it sacrifices some short-term revenue.

That said, I didnt want to hide from my earlier advice from one day ago (March 18). Ive left it intact as a reminder to myself and readers that my own views can change within hours of publishing a blog.

While MSPs worldwide scramble to set up customers with remote access and work-from-home capabilities, many MSPs and IT consultants must also juggle on-site customer repairs.

To tackle those business challenges and minimize the risk of coronavirus exposure, here are a few suggestions:

The background: ChannelE2E has heard from multiple MSP industry sources in recent days. Many MSPs are overwhelmed with service desk tickets many of which request those work-from-home capabilities. Others are trying to figure out how to keep their project engineers healthy while visiting customer offices to fix equipment, ConnectWise VP Arlin Sorensen noted in a conversation with ChannelE2E.

While the U.S. federal government emphasizes social distancing, even the best MSPs occasionally need to visit customer locations.

Admittedly, the tips above arent a universal fit for all MSPs. Many MSPs may need more than a single day per week to visit customer offices. And some customers may still hold fast to on-premises servers or proprietary applications that arent available in the cloud.

All that said, Im all ears and welcome more suggestions to share with our readership Joe@AfterNines.com.

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Global Hyper-Converged Infrastructure Markets to 2025 – IBM, Cisco, Huawei and Microsoft are the Forerunners of this $27 Billion-Projected Industry -…

Dublin, March 19, 2020 (GLOBE NEWSWIRE) -- The "Global Hyper-Converged Infrastructure Market, by Component, by Organization Size, by Application, by End-user, by Region, Industry Analysis and Forecast, 2019-2025" report has been added to ResearchAndMarkets.com's offering.

The Global Hyper-Converged Infrastructure Market size is expected to reach $27 billion by 2025, rising at a market growth of 33.2% CAGR during the forecast period.

Hyper-converged technology has gained momentum in the early stages of development because of its ability to provide virtual desktops. With the ever-increasing digital data and diversified sources, companies are moving towards high-performance, alongside a linear scaling architecture that is the primary focus of hyper-converged infrastructure. As the hyper-converged architecture has grown from traditional server workloads such as web servers, regular software, research & development to mission critical workloads such as SAP, SQL, and Oracle, the industry has achieved high adoption rates that influence market growth positively.

The need for scalable infrastructure with increasing demand for architectures, which can manage heavy workloads, like business analytics and big data tools, are some of the key drivers in the growth of the global hyper-converged infrastructure market. Major business leaders push companies to embrace software-centric architecture that lets them incorporate, process, and store in a single suite. This encouraged leading virtualization providers to move towards hybrid cloud solutions to help their customers migrate transactional workloads to the public cloud and execute heavy workloads, typically mission-critical on-premise.

The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix, IBM Corporation, Cisco Systems, Inc., Huawei Technologies Co., Ltd., and Microsoft Corporation are some of the forerunners in the Hyper-Converged Infrastructure Market. Companies such as Hewlett Packard Enterprise Company, Fujitsu Limited, and Dell Technologies, Inc., Nutanix, Inc., NetApp, Inc., NEC Corporation, and Hitachi, Ltd. are some of the key innovators in Hyper-Converged Infrastructure Market.

Partnerships, Collaborations, and Agreements

Acquisition and Mergers

Product Launches and Product Expansions

Market Segmentation

By Component

By Organization Size

By Application

By End-user

Companies Profiled

For more information about this report visit https://www.researchandmarkets.com/r/g27vxt

Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

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Global Hyper-Converged Infrastructure Markets to 2025 - IBM, Cisco, Huawei and Microsoft are the Forerunners of this $27 Billion-Projected Industry -...

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Spectro Cloud Launches With $7.5 Million to Help Enterprises Realize the Promise of Kubernetes – GlobeNewswire

Spectro Cloud Co-Founders

Saad Malik (CTO), Tenry Fu (CEO) and Gautam Joshi (VP of Engineering)

SANTA CLARA, Calif., March 17, 2020 (GLOBE NEWSWIRE) -- Today Spectro Cloud, an enterprise cloud-native infrastructure company, emerged from stealth and unveiled its first product: Spectro Cloud. Spectro Cloud provides scalable, policy-based management of Kubernetes for enterprises that need a high degree of control over their infrastructure, whether it is in public cloud, private cloud, bare metal or in any combination. The product has been in private beta since January and will be generally available next quarter.

Enterprises are struggling to realize the promise of Kubernetes due to its operational complexity. While the managed Kubernetes services solve this problem for those that want/need a completely pre-packaged approach, for the majority, they can become too restrictive for the varied needs that enterprises have. Spectro Cloud has created a flexible solution that provides the scalable automation and ease-of-use of the managed services, but enables enterprises to retain greater control, said Roy Illsley, Distinguished Analyst, Enterprise IT, Omdia.

Spectro Cloud lets enterprises customize a Kubernetes infrastructure stack for specific business needs by using a declarative model to define cluster profiles. Spectro Cloud uses these cluster profiles to automate deployment and maintenance of clusters across the enterprise. Canary deployments, patterns for rolling out releases to a subset of users or servers, ensure Kubernetes upgrades dont break dependencies on other ecosystem components while keeping everything consistent with enterprise-wide standards.

Sbastien Morissette, P.Eng., IT Architect Specialist Infrastructure, Security and IT Services at Intact Financial Corporation, Canadas largest provider of property and casualty insurance, said: Our business units end up choosing different Kubernetes providers as they all have different niches and varying maturity levels in different fields like AI, machine learning, public cloud vs on premises offerings, etc. Operationally, this becomes a nightmare because IT needs multiple support structures to address the different infrastructure stacks.

Morissette continued: A platform like Spectro Cloud addresses both the day 1 and day 2 operations of our Kubernetes ecosystem by normalizing the way IT deploys, operates and manages Kubernetes clusters over a broad spectrum of endpoints, both on premises and in the cloud. The control IT gets from Spectro Clouds cluster profiles means they can customize offerings to each business unit while maintaining responsibility for overall operations.

Weve seen enterprises struggle with managed Kubernetes options, and weve also seen them waste time and money trying to do everything in-house. With Spectro Cloud, were giving enterprises a way to run Kubernetes at scale without having to convert their entire way of working to whatever one large vendor thinks is correct. Theyve been burned by that approach before, said Tenry Fu, co-founder and CEO of Spectro Cloud. Fu most recently led the architecture for the Cisco CloudCenter Suite and Cisco Container Platform after his previous company, CliQr, was acquired by Cisco. CliQrs technology enabled applications to run more efficiently across public and private clouds.

Instead of converting their entire business to a single way of working, enterprises can experiment with new approaches at the pace that makes sense for them. Developers can work at the speed they need, while security and audit controls are embedded into the process, regardless of where clusters are deployed. Enterprises can make use of public cloud, private cloud, whatever suits their needs at the time, and change their mind as circumstances require.

With Spectro Cloud, the promise of Kubernetes can finally be realized.

Today Spectro Cloud also announced $7.5 million in seed funding led by Sierra Ventures with participation from Boldstart Ventures.

The market for Kubernetes has crossed the chasm. What weve heard from our CXO Advisory Board of Global 1000 IT executives is that enterprises are still struggling with the operational complexity that comes with Kubernetes. Spectro Clouds team has a deep understanding of the needs of enterprises and has found a unique way to make Kubernetes easy to use for its rapidly growing customer base, said Mark Fernandes, managing director at Sierra Ventures.

From our dozens of conversations with Fortune 500s, it was clear that deploying Kubernetes was a top priority but there was still no solution that met their needs. Spectro Cloud is the first company that not only gives customers fine grained control, flexibility and multi-cloud capabilities for their Kubernetes stack but also the ease of use and scalability of a managed SaaS platform. The teams deep background in cloud infrastructure (founded CliQr - sold to Cisco) and their design first ethos has been well received by large enterprises, and were thrilled to be partnered with Spectro Cloud as they redefine the infrastructure ecosystem, said Ed Sim, founder and managing partner at Boldstart Ventures.

About Spectro CloudSpectro Cloud is an enterprise cloud-native infrastructure company that makes Kubernetes manageable at scale for enterprises that need superior control and flexibility. Spectro Cloud provides solutions that help enterprises run Kubernetes their way, anywhere. Spectro Cloud is founded by multi-cloud management experts and is backed by Sierra Ventures and Boldstart Ventures. For more information, visit https://www.spectrocloud.com or follow @spectrocloudinc.

Media and Analyst Contact:Amber Rowlandamber@therowlandagency.com+1-650-814-4560

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/1d1d8da7-1631-4c09-b40d-7d838fa5a037

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Spectro Cloud Launches With $7.5 Million to Help Enterprises Realize the Promise of Kubernetes - GlobeNewswire

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Pockets of Density Will Be More Common in Future Data Centers – Data Center Frontier

High-density racks will become more common as AI gains traction. (Photo: Rich Miller)

Will high-density, liquid-cooled racks become more common in data centers? Thats todays topic as we continue our Data Center Executive Roundtable, a quarterly feature showcasing the insights of thought leaders on the state of the data center industry, and where it is headed. In todays discussion, our panel of experienced data center executives Iron Mountains Michael DeVito, Chris Sharp of Digital Realty, Kristen Kroll-Moen from Chatsworth Products, Intels Jeff Klaus, Gary Niederpruem of Vertiv, and Amber Caramella of Netrality and Infrastructure Masons discuss trends in rack power density and their implications for design and operations.

The conversation is moderated by Rich Miller, the founder and editor of Data Center Frontier.

Data Center Frontier:Last year several studies indicated that rack density level is increasing. How might the growing use of artificial intelligence and edge computing impact rack density and the world of data center cooling?

GARY NIEDERPRUEM, Vertiv

Gary Niederpruem:What we are seeing from our customers is that average rack densities arent rising dramatically for many operators. But in select applications, such as AI, extremely high densities are becoming more common. Thats created an interesting environment where you have some users with relatively stable densities and some with densities that werent even practical 10 years ago. This is occurring both within the core data center and on the edge.

From a cooling perspective, operators need the ability to efficiently cool facilities that support standard density racks (5 kW to 8 kW), high density racks (30 kW and higher), and have some mix of both. Key to accomplishing that is being able to adapt the right cooling technology to the application.

Vertiv is enabling this by offering a range of different technologies that include air-based, compressor-based and liquid-based cooling. That has given high-performance computing facilities, for example, the flexibility to design racks around their specific requirements and then adapt the appropriate cooling technology rather than designing racks based on the capacity of their cooling system.

KRISTEN KROLL-MOEN, Chatsworth Products

Kristen Kroll-Moen: As rack density increases, airflow management becomes critical in traditional air-cooled facilities. In the late 2000s, the industry was projecting significant rack density increases. CPI conducted lab tests to observe and verify performance of airflow management technology and we discovered that air cools very dense racks, up to 30 kW, with disciplined airflow management. Since then, there have been more hardware improvements: hard drives have transitioned to solid state, power supplies have increased in efficiency, and equipment operating ranges have widened.

These improvements provide even more opportunity to accommodate new computing with traditional airflow cooling models. Where space is limited, perhaps in edge sites or where there is a high-density compute node, an alternative is to shift to liquid cooling, either supplemental indirect cooling, or direct liquid cooling. The challenge for enterprise operators is the availability of off-shelf direct liquid cooled solutions.

AMBER CARAMELLA, Netrality Data Centers and Infrastructure Masons.

Amber Caramella:As artificial intelligence (AI) and edge computing proliferate, rack density will continue to increase. More data-intensive workloads naturally require more compute power, which increases the amount of electricity used by servers and the amount of heat the servers produce. This makes powering and cooling data centers more expensive and increases their carbon footprint.

Conventional data center cooling methods will not scale under the processing demands of AI, 5G wireless, Internet of Things (IoT), and the rise of Smart Cities. Luckily, there are a growing number of new approaches to cooling that actually reduce energy consumption and costs. As data center needs transform, dynamic infrastructure is needed to respond to high, mixed and variable power densities, enabling environments to evolve without stranding capacities. Newer cooling systems are being developed that are purpose-built for data centers.

These and other promising new cooling methods will be needed to ensure that data centers can keep up with data processing demands and become more green and sustainable.

CHRIS SHARP, CTO, Digital Realty

Chris Sharp:With the explosion of AI and IoT in the enterprise, data gravity has become one of the biggest challenges to successful digital transformations. The explosive growth of data means it is now heavier, denser, and more expensive to move. At the same time, these new technologies require data centers to support a higher level of computational power, electricity usage, and heat generation, requiring specialized power and cooling techniques that arent available in the enterprise basement.

Organizations across all industries are using AI to meet business challenges and increase efficiency. Its also important to note that not every colocation facility is prepared to support these compute-intensive technologies in a multi-tenant environment. Per-rack power demands for AI can easily and regularly do exceed what standard data centers can deliver. To put into context, the average kilowatt per rack is around 7kW, but with AI, applications can pull more than 30 kW per rack. As per-rack power demands rise, so does the need for highly efficient cooling.

One of the ways data center operators are addressing these data-intensive technologies is through various next-generation cooling technologies, including liquid cooling and direct air cooling. While it isnt the right fit for all workloads, liquid cooling enables ultra-high-density equipment be deployed in otherwise low- or medium-density facilities, essentially retrofitting a data center for future applications.

As part of our commitment to lead the data center into the future, were partnering with companies like Submer Technologies to help customers evaluate the potential applications of new cooling technologies and support their future data center infrastructure needs.

MICHAEL DeVITO, Iron Mountain

Michael DeVito:At the high level, AI requires a lot of processing. It must go through many different data sets quickly and requires algorithms capable of processing that data.

Along with the demand for low latency and high processing comes greater compute capability. This will increase the power required at the rack level. Once you increase power at the rack level, you must be able to cool it.

As the need for greater cooling grows, data centers must ensure we are doing this efficiently. As we consume more and more cooling, we need to be cognizant of any waste and operate in the most sustainable manner possible. Finding sustainable sources of power are key.

JEFF KLAUS, Intel

NEXT: Our panel discusses the data center industrys progress on diversity.

Keep pace with the fact-moving world of data centers and cloud computing by following us onTwitterandFacebook, connecting with me onLinkedIn, and signing up for our weekly newspaper using the form below:

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Is Your Company Using Artificial Intelligence To Transform An Industry? Nominations For The Forbes 2020 AI 50 List Are Now Open – Forbes

Is AI core to growing your business?

Artificial intelligence technology is powering big changes across all industries, but its tough to separate out the companies with truly transformative applications from marketing hype. Thats why Forbes is compiling a list of promising startups that are emerging as leaders in this space.

Is AI at the heart of what your company does, not just a driver for an auxiliary business or way to improve an existing product? We want to hear from you.

Nominations are now open for the second annual Forbes AI list, which seeks to highlight private companies that are applying artificial intelligence to solve problems in innovative ways.

Forbes, in partnership with Sequoia Capital and Meritech Capital, will evaluate hundreds of companies based on metrics including revenue, growth and valuation, with a panel of experts weighing in on how innovative and mission-critical each companys use of AI is (versus buzzwords thrown onto a slide-deck).

We welcome any U.S.-based private company to apply by filling out this form by Friday, April 10. The number of nominations wont influence our selection, so stick to just one per company, please.

We look forward to hearing from you!

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Is Your Company Using Artificial Intelligence To Transform An Industry? Nominations For The Forbes 2020 AI 50 List Are Now Open - Forbes

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Artificial Intelligence is Becoming the Future of Investment Platforms – EnterpriseTalk

How can AI help in investment decisions? And if there are challenges, how does your platform help to resolve those challenges?

As to why investors in general need AI, there are enormous amounts of data out there, and there is an ongoing battle over that available data. The industry as a whole now produces all kinds of data-based financial reporting and statements, and investors and industry players alike can buy really well-structured data as a result. AI has the ability to study massive amounts of this data and identify patterns.

Let us assume we identified a stock pattern today, and we want to figure out what to do next: buy or sell. AI can find somewhat similar patterns that existed in history and then analyze what happened right after. Knowing what happened after the pattern in the past may suggest what may happen in the future from today.

How Bots Are Altering the Future of Enterprise

We can identify patterns for stocks, Forex, ETFs, mutual funds, and even currencies. With that said, some patterns will not work for certain stocks; that is why people need a complete picture, including discovery, testing, and a presentation of results.

What if there is a challenge and if they are having a problem identifying the patterns? How does then AI support this kind of investor?

Challenges can also be patterns. Let us assume there is a significant drop in the market today; AI can go back through historical data and find similar significant drops in the market to come to pattern-based conclusions, such as which particular stocks continue to go down and which stocks tend to quickly bounce back. And in that regard, AI helps to solve the challenges in conjunction with human involvement, where humans can take these signals and use them for making better trading decisions.

That perspective raises the question: can AI effectively trade or manage a portfolio without any human involvement? So far, there is only one recorded example, a hedge fund claiming no human involvement. In all other cases, at this moment, humans have some kind of involvement. Today, the best minds in the finance industry are working on solutions that can help interpret challenges or anomalies in the market, including significant drops or significant jumps. Beyond AI, many companies use robots to work on these solutions, too. They look at the expense ratio and come up with the best-case scenario we are talking about the fully automated robots which can solve the challenges that arise.

Are there any security challenges in data processing of this type?

Data security challenges are the same whether AI is involved or not you have to be secure either way. With that said, you do need to protect against the black swans when something unexpected happens, and the AI can react and perform a problematic money maneuver.

Voice-based AI Assistant Certainly the Future of Workplace

Think about the verification challenges when people put driverless cars on autopilot, and the driverless car sees something unexpected. There is a chance it will crash, like Tesla demonstrated recently when the human fully relied on autopilot. When it comes to AI and investing a lot of money could be on the line.

So you see AI as a future of investment platforms? How is your platform leveraging AI differently?

Ans: Yes, absolutely. It is an enormous amount of power, and no human being can compete with the speed and volume of this power when applied to trade.

Here is the main difference with AI in our approach: to make it convenient for our users, we test a lot of strategies in advance, and that means that a typical investor gets access to a secure cloud. In our secure, local cloud, we run a lot of pre-calculations over different strategies. We run tens of thousands of different strategies simultaneously. We dont know what is going to happen with these tens of thousands of strategies, but we know that if the user on our site wants to use one of them, then it is going to be pre-calculated. That way, the person has more immediate access to our data and analysis. And that is our main feature that a person can use our AI on request.

Rebirth of Industries in the Era of Intelligent Automation

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Artificial Intelligence is Becoming the Future of Investment Platforms - EnterpriseTalk

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Artificial intelligence myths: Reality check – Livemint

Very few subjects in science and technology have caused much excitement right now as artificial intelligence as some of the worlds brightest minds have said that its potential to revolutionise all aspects of our lives.

AI makes it practical for machines to understand from experience, act human-like jobs, and adapt to the latest inputs. The concept works by amalgamating enormous data with quick, smart algorithms, and iterative processing, enabling the software to decipher by analysing patterns in the data in an automatic way.

There is science and well thought algorithm behind all the artificial solutions, where you need to set up proper expectations and clarification to avoid any rumours and myths around the outputs.

While the notion of AI is turning into a massive component of business and consumer transformations, its execution is generally stagnated because of some misconceptions associated with it.

Myth 1: AI will deliver magical resultsimmediately

The path to AI success is hard and takes time, and not just because of the technology. You also need a strategic framework and an iterative approach to avoid delivering a random set of disconnected AI solutions. The temptation is to go for moonshots to deliver the magic, but such projects often fail to live up to expectations because you dont have the basics homework done.

AI is not a magic, it requires rigour, logical thinking and long term strategy with a patience to do multiple iteration to get to the result.

Myth 2: AI Will Replace Human Jobs

Most of the times, management look at AI solutions to replace human and reduce the operational cost, creating a sense of fear among the employees.

So, if you think that AI solutions might strip human from their jobs, then you are undeniably wrong.

Reality is, AI and human need each other. AI is at its most valuable when it augments peoples capabilities. It can remove the duplicate work, freeing people up for more strategic activities. That has the added benefit of making people more motivated, productive, and loyal. Enterprise AI also relies on people to feed it the right data and work with it the right way. Often, AI doesnt provide conclusive answers to issues, but rather highly informed recommendations that an actual human can weigh to make the final decision.

Myth 3: AI Implementation Needs Huge Investment

Artificial developments resolutions appear to be tremendously scientific and complicated. This inclination recommends that just a modern tech organisation, including Google, Amazon, or Apple, with an extended team of experts and billion-dollar budgets can pay for implementing AI. In reality, there are a lot of smart tools existing for an enormous variety of organisation, which can be utilised to implement AI in their business procedures.

Myth 4: AI Algorithms are Competent to Process Any Data

Most of you must believe that ML algorithms are one of the most crucial elements in the entire system. An algorithm might appear to be robust and linked with the human brain, which can make intellect of any untidy data.

It is not possible, for algorithms, to make decisions without human intervention as they dont have magic power. It requires a specific piece of data to get impeccable results.

Myth 5: AI will Conquer Humanity

Machines are powerless to imagine similar to people and will barely be taught to do so. In fact, computers are going to have an optimistic impact on the world by supporting people in a lot of fields, building innovative business models, communities, and skills. Its certainly true that the advent of AI and automation has the potential to seriously disrupt labour and in many situations it is already doing just that. However, seeing this as a straightforward transfer of labour from humans to machines is a vast over-simplification. In fact, a lot of AI focus has been on reducing the drudgery" of day-to-day aspects of the work. AI gives an opportunity to upgrade your skills and move up in your career ladder at the same time.

About the Author: A technology and product leader, Rahul Kumar is Group Chief Product Officer with HT Media Group. An alumni of BIT Mesra, who later on honed his technology management skills from IIT Delhi, has been leveraging AI, ML and IOT to solve business and consumer problems across technology led startups and conglomerate.

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Artificial intelligence myths: Reality check - Livemint

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