Transforming Your Business to More Digital Capable and cloud Consumable Applications and Services

The cloud landscape continues to evolve as businesses move to multi-cloud approaches for developing, deploying and delivering applications. This mix of public, private, on-premises, off-premises, cloud interconnects, and SaaS creates a number of strategy and implementation challenges. By partnering with managed IT services, New York businesses as well as those around the globe are finding ways to mitigate those challenges.

Though the needs of each business and the paths may be slightly different, they all can deliver cloud consumable applications and services needed by a digital capable business. The shared goal is to take advantage of all available options to efficiently, flexibly and cost effectively deliver a growing portfolio of applications and services. These managed services solutions enable efficient application management across providers and models.

The leading managed services providers can deliver all connectivity solutions as well as access to a huge list of cloud providers. This helps businesses develop a detailed approach to their digital operational and customer facing capabilities.

The first step is to start with business goals that inform decisions about application and services migration, placement, management and monitoring. These managed services solutions will provide a centralized ability to weigh costs, access, security, compliance and myriad other factors to come up with an answer across all the varying cloud formations.

Data center managed services provide end customers with access to:

• IT expertise for engineering, management and monitoring of assets and environments via best practices that support ad hoc and ongoing needs
• New skills and solution provider resources across infrastructure, technical management and cross vendor application management

Application access and uptime is critical to every business, so monitoring becomes an important component to cloud data center operations.

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Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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3 Reasons Why You Should Adopt Hybrid Cloud Strategies

The public cloud was once hailed as the premier option for unlimited, accessible data storage. However, on-premise private cloud solutions still offer better security, speed and control – especially when managing private data. Find out why hybrid cloud strategies are the best way for companies to enjoy the benefits of both private and public cloud storage – and how colocation service providers support such needs.

Workflows and Partnerships

Colocation facilities can support the collaboration benefits of a hybrid cloud strategy in multiple ways. Foremost, tenants in a colocation service provider can securely access one another’s applications and data upon mutual request. This creates a safe space in which to collaborate, expanding each businesses capabilities in a secure way that wouldn’t otherwise be achievable.

Another benefit of hybrid cloud models is that they offer decreased latency, which is the length of delay between a service and a request. Latency is often improved when cloud servers are geographically closer to the request source, as the request has a shorter distance to travel. Since a colocation service provider allows companies to store their private cloud in a nearby location, this can help increase latency when the public cloud isn’t as fast. In turn, this helps increase workflows by speeding up requests.

Security, Control, and Colocation Service Provider

Today’s businesses are seeking increased flexibility in data management without having to sacrifice high-stakes security. This is especially true for the healthcare, finance and retail industries, which often have certain compliance regulations regarding how and where data can be stored.

Although these companies can’t store such data on the public cloud, they often still need access to applications and tools that are available only on the public cloud. Data center colocation providers are a great solution to these security and accessibility needs because they keep private patient and customer information secure while meeting strict requirements. Click here to visit original source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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Understanding The Role of Artificial Intelligence in The Data Center Industry

The amount of global data being stored, processed and managed continues to grow exponentially each day. In turn, artificial intelligence is playing a pivotal role in helping data center service providers capture, process and analyze this data at a faster and more powerful rate than ever before. From automated monitoring systems to advanced energy savings, here’s how artificial intelligence is improving the operations and efficiency of global data centers.

What Artificial Intelligence Means for Data Center Service Providers

Artificial intelligence isn’t a new concept, and tools like face detection and voice recognition already play a major role in our daily lives. Strava, Inc. Staff Engineer Drew Robb adds that object identification, classification, and other forms of geographic and identity detection are leading AI uses in the enterprise market.

All of these applications place an increased strain on data centers because they require increased data storage and processing in order to run. Managing this immense increase in data requires that the data center industry scale, adapt, and acquire more computing power. Artificial intelligence enables the data center service provider to meet such demands in a variety of ways, including operational automation, elastic computing power and predictive maintenance.

Improving Data Center Efficiency

Increased data processing requires that data centers keep hardware cool. With more data to process and hardware working harder, however, this drives up energy costs and increases the overall resource footprint of data centers.

Fortunately, machine learning is playing a vital role in helping companies understand their data center energy consumption. As explained in Datacenter Dynamics, artificial intelligence is being used to analyze temperature set points, evaluate cooling equipment and test flow rates. The use of AI-powered smart sensors can receive data from numerous sources and relay that information as environmental, electrical and mechanical insights. In addition to detecting sources of energy inefficiencies, machine learning can also be automated to make informed decisions that reduce data center energy consumption and cut costs.

Software solutions business manager Stefano D’Agostino adds that, “innovative startups are using intelligent machines with self-learning algorithms to optimize the allocation of the IT load itself so that optimal cooling can be achieved.” The benefits of such technology is already being realized, and statistics from The Data Center Science Center show that advancements in UPS efficiency and cooling energy losses have helped ordinary data centers cut physical infrastructure costs by 80% over the last decade.

This shows that, even though artificial intelligence technology is partly responsible for an increase in data center processing, it can also be used to mitigate its own increases in energy consumption.

Strengthening Data Center Security

In addition to improving energy efficiency, AI can also improve security of a data center. New York businesses rely on Telehouse because we’re committed to proactively managing customer data and reducing security risks wherever possible. We’re also tuned in to the latest advancements in AI security applications, which can screen and analyze data for security threats at a more thorough and rapid rate. AI can also help assess normal and abnormal patterns, detect malware and spam, identify weak areas and strengthen protection from potential threats.

Detecting and Reducing Downtime
Another way that artificial intelligence can influence the modern data center service provider is through improved outage monitoring. In fact, AI monitors have the ability to predict and detect data outages before they even occur. They also have the ability to track and detect server performance, disk utilization, and network congestions.

Today, artificial intelligence offers advanced predictive analytics services that make it easier and more reliable to monitor power levels and potential trouble areas. Click here to visit original source....

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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Solutions for Disaster Recovery that Protect Smart Cities

Based on a statement from Gartner, a technology research and advice firm, there are roughly 2.3 billion connected things smart cities such as New York, Tokyo, and London use. Compared to 2016, that number represents a 42 percent increase. Soon, smart cities will be the catalyst behind an economic boom and improved quality of life for people living in them.

As the backbone of smart cities, it is imperative that data centers and colocation sites have the right disaster recovery solutions in place. Not only will this ensure flawless connectivity and top data security but also public health and safety.

To streamline city services, smart cities rely on rich data in real time. Software, hardware, and geospatial analytics can improve on livability and municipal services. With enhanced sensors, the Internet of Things (IoT) can reduce the amount of energy consumed by street lights and preserve resources by regulating water flow.

Due to the location of many smart cities, as well as other potential risks, disaster recovery cloud services are vital. Disaster recovery providers protect power and communication caused by power outages, floods, and even cyber attacks. To continue reading and visit source click here.

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Benefits of Integrating the Cloud and AI

There are many benefits of integrating the Cloud and AI. As for AI, it touches every industry around the globe. As part of this technology are machine learning, deep learning, computer vision, and natural language processing (NLP), which give computers faculties that mimic humans such as seeing, hearing, and even deductive reasoning.

Many enterprises need to process a tremendous amount of data efficiently, quickly, and accurately. Therefore, they depend on AI-capable colocation data centers. The need for enterprise AI applications is growing so fast that one research company predicts revenue will reach the $31 billion mark within the next seven years.

For predictive analytics programs, the top industries include education, health care, financial, and telecommunication. The goal is to target new business opportunities and improve the customer’s experience. A perfect example is a bank that uses an AI system for tracking information about credit card transactions. With pattern recognition, this bank can identify fraudulent acts.

A Unique Relationship

Cloud computing facilitates much of the progress in AI and machine learning. With massive data to analyze, Cloud computing is now more critical for delivering AI solutions. Along with prominent Cloud platforms such as Google and Microsoft, several smaller ones are integrating AI technologies.

With a unique relationship, the Cloud delivers data learned by AI systems. At the same time, AL provides information that expands the data available to the Cloud. For improving storage, computing, and other Cloud services, AI will become even more critical than it is now.

Data center colocation providers and the Cloud work like a well-oiled machine. Data center colocation services will continue to provide an infrastructure strategy for a host of companies, while AI will keep integrating with the Cloud, which will increase the need for colocation services.

Telehouse CloudLink, a connectivity exchange for customers with multiple Cloud providers, guarantees a safe and private connection between company networks and Cloud services.

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Data Center/ AI Stories You Might Have Missed Last Year

The rapid progress of artificial intelligence (AI) is impacting the global data center industry in multiple ways. Colocation service providers are looking at ways to use artificial intelligence for energy efficiency, server optimization, security, automation, and infrastructure management. As an owner of data centers in New York, Los Angeles, Paris, and other prominent global locations, Telehouse is interested in the advancement of AI in the global data center space. Here are some stories that captured our attention last year. We think these stories will have far-reaching impact.

Data Centers Get AI Hardware Upgrade from Big Hardware Manufacturers

The hardware market for AI-based applications is heating up. Intel, AMD, Microsoft, Google, ARM, and NVIDIA have announced their own specialized hardware targeted at artificial intelligence. Intel unveiled its Nervana Neural Network Processor (NNP) family of chips specifically designed for AI applications in data centers. AMD’s EPYC processor with 32 “Zen” cores, 8 memory channels, and 128 lanes of high-bandwidth I/O is also designed for high-performance computing. Microsoft is experimenting with Altera FPGA chips on their Azure Cloud to handle more AI processing.

Google’s announcement of Tensor Processing Unit (TPU) on the Google Cloud Platform probably received the most press. TPU is optimized for TensorFlow, the open-source application for machine learning. NVIDIA’s graphics cards are already in big demand for machine learning applications. But it has unveiled the Volta GPU architecture for its data center customers.

ARM processors are generally known for their use in low-power mobile devices. But it is taking a stab at the Data Center AI market with two new offerings: Cortex A-75 and Cortex A-55.

With the big names in the hardware industry fighting for dominance, global data centers will have a plethora of hardware choices for AI applications.

Personal Assistants Are Driving the Demand for AI Processing

Amazon Alexa, Google Assistant, Apple Siri and Microsoft Cortana are competing with each other to gain the next-generation of users. As more people start using voice queries and personal assistants, it is changing the dynamics of internet search. The change is significant enough to threaten Google’s dominance. If future users move to voice for daily searches, Google has to rethink their advertising strategy. The winner of the personal assistant battle can end up owning the future of e-commerce.

Artificial intelligence is the backbone of the personal assistant technology. According to a Consumer Intelligence Research Partners (CIRP) survey, Amazon has sold more than 10 million Alexa devices since 2014. Because the personal assistant market is lucrative, innovative startups will try to disrupt the space. And these newcomers will require massive data centers to handle their AI processing needs. As the number of related devices and applications proliferate, the need for global data centers with AI capabilities will also increase.

Big Basin and Facebook

Facebook’s do-it-yourself (DIY) approach to AI hardware might become the model for colocation service providers. Facebook uses artificial intelligence for speech, photo, and video recognition. It also uses AI for feed updates and text translations. So they need hardware that can keep up with their increasing AI requirements.

Big Sur GPU server was Facebook’s first generation AI-specific custom hardware. It was a 4U chassis with eight NVIDIA M40 GPUs and two CPUs with SSD storage. Facebook learned from their experimentation with this hardware configuration. They took that learning and used it to build the next-generation Big Basin architecture. It incorporates eight NVIDIA Tesla P100 GPU accelerator and improves on the Big Sur design. The added hardware and more modular design have given Big Basin a performance boost. Instead of 7 teraflops of single-precision floating-point arithmetic per GPU in Big Sur, the new architecture gets 10.6 teraflops per GPU. Continue reading.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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Telehouse Introduces Data Center Robotics

The term “robot” translates in Czech to “hard work” or “drudgery.” With advances in technology, data center colocation services include robotics as part of specialized applications that reduce human labor. Primarily, data center colocation providers deploy robotics to enhance efficiency. Facing fierce competition, businesses continually search for ways to make their infrastructures less expensive and agiler. Robotics reduce IT staff, which ensures greater monitoring accuracy and improved security.

Both EMC and IBM currently rely on iRobot Create, which traverses data center colocation facilities to check for fluctuations in temperature, humidity, and system vibrations. After the robot scours a data center colocation site for the source of vulnerabilities, like cooling leaks, it gathers data for processing through a Wi-Fi connection. An algorithm converts the data into a thermal map so that managers can identify anomalies.

Still in the concept phase, PayPerHost is working on Robonodes, which would replace a failed customer server or storage node. Sony and Facebook rely on robotic units as part of Blu-ray disc-based media storage archives. Overall, robotics help businesses mitigate the footprint of data center managed services while simplifying infrastructure.

Telehouse is responding to the increased demand for cloud computing and technological advances. Someday, data center resilience and archiving efficiency will improve due to more robust systems, automation software, and intense planning.

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