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Items Tagged: Artificial+Intelligence

news / Blog

Is It Still Artificial Intelligence? Knowm Rolls Out Adaptive Machine Learning Stack

When we want to start computing at biological scales and speeds - evolving today's practical machine learning forward towards long-deferred visions of a more "artificial intelligenceā€ - we'll need to take advantage of new forms of hardware that transcend the strictly digital... Knowm Inc. is pioneering a brilliant new form of computing that leverages the adaptive "learning" properties of memristive technology to not only persist data in fast memory (as others in the industry like HP are researching), but to inherently - and in one operation - calculate serious compute functions that would otherwise require the stored data to be offloaded into CPU's, processed, and written back (taking more time and power).

  • Premiered: 07/08/15
  • Author: Mike Matchett
Topic(s): Knowm Big Data Artificial Intelligence Machine Learning Memristor
news

IT pros get a handle on machine learning and big data

Despite its benefits, machine learning can also go very wrong. Beginners need to understand their input data, project scope and purpose, and the machine learning algorithms at work.

  • Premiered: 07/15/15
  • Author: Mike Matchett
  • Published: TechTarget: Search Data Center
Topic(s): TBA IT TBA Mike Matchett TBA Big Data TBA Machine Learning TBA predictive modeling TBA Optimization TBA scale-out TBA Apache TBA Apache Mahout TBA Apache Madlib TBA High Performance TBA High Performance Computing TBA HPC TBA storage architecture TBA Storage TBA In-Memory TBA Microsoft TBA Microsoft Azure TBA AI TBA Artificial Intelligence
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Big data and IoT benefit from machine learning, AI apocalypse not Imminent

Enterprise gets more from its data and better predictive analytics with capable machine learning, but this AI still isn't good enough at finding meaningful patterns in data.

  • Premiered: 05/19/16
  • Author: Mike Matchett
  • Published: TechTarget: Search IT Operations
Topic(s): TBA Mike Matchett TBA Storage TBA Big Data TBA IoT TBA Internet of Things TBA predictive analytics TBA Machine Learning TBA Artificial Intelligence TBA AI TBA deep learning TBA cloud hosting TBA Cloud TBA Microsoft TBA Twitter TBA Kik TBA GroupMe TBA Google TBA AlphaGo TBA CPU TBA predictive modeling TBA cluster TBA Microsoft Azure TBA Azure TBA AWS TBA Amazon AWS TBA Amazon Web Services TBA Google Cloud Platform
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Delving into neural networks and deep learning

Deep learning and neural networks will play a big role in the future of everything from data center management to application development. But are these two technologies actually new?

  • Premiered: 06/16/16
  • Author: Mike Matchett
  • Published: TechTarget: Search IT Operations
Topic(s): TBA deep learning TBA datacenter management TBA Data Center TBA Datacenter TBA Big Data TBA Machine Learning TBA big data analytics TBA Artificial Intelligence TBA Compute TBA neural networks TBA Cloud TBA scale-out TBA scale-out architecture TBA High Performance Computing TBA High Performance TBA HPC TBA NVIDIA TBA Mellanox TBA DataDirect Networks TBA 4U appliance TBA Google TBA Google AlphaGo TBA network TBA Mike Matchett
news

When data storage infrastructure really has a brain

Big data analysis and the internet of things are helping produce more intelligent storage infrastructure.

  • Premiered: 09/06/16
  • Author: Mike Matchett
  • Published: TechTarget: Search Storage
Topic(s): TBA Big Data TBA big data analytics TBA Internet of Things TBA IoT TBA storage infrastructure TBA Storage TBA Intelligent Storage TBA CPU TBA software-defined TBA software-defined storage TBA SDS TBA HPE TBA StoreVirtual TBA hyper-converged TBA hyper-converged architectures TBA HyperGrid TBA Nutanix TBA Pivot3 TBA SimpliVity TBA Optimization TBA Datrium TBA Provisioning TBA Artificial Intelligence TBA Cloud TBA elastic cloud TBA data processing TBA Python TBA Spark TBA API TBA REST API
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Four big data and AI trends to keep an eye on

AI is making a comeback - and it's going to affect your data center soon.

  • Premiered: 11/17/16
  • Author: Mike Matchett
  • Published: TechTarget: Search IT Operations
Topic(s): TBA AI TBA Artificial Intelligence TBA Big Data TBA Data Center TBA Datacenter TBA Machine Learning TBA Apache TBA Apache Spark TBA Spark TBA Hadoop TBA MapReduce TBA latency TBA In-Memory TBA big data analytics TBA Business Intelligence TBA Python TBA Dataiku TBA Cask TBA ETL TBA data flow management TBA Virtualization TBA Storage TBA scale-up TBA scale-out TBA scalability TBA GPU TBA IBM TBA NVIDIA TBA Virtual Machine TBA VM
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SQL Server machine learning goes full throttle on operational data

Artificial intelligence is a hot topic in IT, and Microsoft has made strides to synchronize SQL Server with machine learning tools for use in analyzing operational data pipelines.

  • Premiered: 03/06/17
  • Author: Mike Matchett
  • Published: TechTarget: Search SQL Server
Topic(s): TBA SQL TBA SQL Server TBA Machine Learning TBA Big Data TBA operational data TBA Artificial Intelligence TBA AI TBA Microsoft TBA converged TBA convergence TBA Workflow TBA Cloud TBA Storage TBA predictive analytics TBA vNext TBA IoT TBA Internet of Things TBA Microsoft Azure TBA Azure TBA Optimization
Profiles/Reports

IBM Cloud Object Storage Provides the Scale and Integration Needed for Modern Genomics Infra.

For hospitals and medical research institutes, the ability to interpret genomics data and identify relevant therapies is key to provide better patient care through personalized medicine. Many such organizations are racing forward, analyzing patients’ genomic profiles to match more clinically actionable treatments using artificial intelligence (AI).

These rapid advancements in genomic research and personalized medicine are very exciting, but they are creating enormous data challenges for healthcare and life sciences organizations. High-throughput DNA sequencing machines can now process a human genome in a matter of hours at a cost approaching one thousand dollars. This is a huge drop from a cost of ten million dollars ten years ago and means the decline in genome sequencing cost has outpaced Moore’s Law (see chart). The result is an explosion in genomic data – driving the need for solutions that can affordably and securely store, access, share, analyze and archive enormous amounts of data in a timely manner.

Challenges include moving large volumes of genomic data from cost-effective archival storage to low latency storage for analysis to reduce the time needed to analyze genetic data. Currently, it takes days to do a comprehensive DNA sequence analysis.

Sharing and interpreting vast amounts of unstructured data to find relationships between a patient’s genetic characteristics and potential therapies adds another layer of complexity. Determining connections requires evaluating data across numerous unstructured data sources, such as genomic sequencing data, medical articles, drug information and clinical trial data from multiple sources.

Unfortunately, the traditional file storage within most medical organizations doesn’t meet the needs of modern genomics. These systems can’t accommodate massive amounts of unstructured data and they don’t support both data archival and high-performance compute. They also don’t facilitate broad collaboration. Today, organizations require a new approach to genomics storage, one that enables:

  • Scalable and convenient cloud storage to accommodate rapid unstructured data growth
  • Seamless integration between affordable unstructured data storage, low latency storage, high performance compute, big data analytics and a cognitive healthcare platform to quickly analyze and find relationships among complex life science data types
  • A multi-tenant hybrid cloud to share and collaborate on sensitive patient data and findings
  • Privacy and protection to support regulatory compliance

Publish date: 03/22/17
news

Smarter storage starts with analytics

Storage smartens up to keep pace with data-intensive business applications embedding operational analytics capabilities.

  • Premiered: 04/03/17
  • Author: Mike Matchett
  • Published: TechTarget: Search Storage
Topic(s): TBA Storage TBA storage analytics TBA analytics TBA Artificial Intelligence TBA AI TBA software-defined TBA Flash TBA SSD TBA In-Memory TBA Hybrid Cloud TBA hybrid cloud tiering TBA cloud tiering TBA Cloud TBA Performance TBA Security TBA Metadata TBA API TBA HPE TBA BMC TBA Saas TBA remote storage TBA NetApp TBA Cassandra TBA HBase TBA Spark TBA Big Data TBA big data analytics TBA InfoSight TBA cluster TBA VM-aware
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Data center storage architecture gets smarter with AI

Trends, such as event-triggered computing, as exemplified by Lambda Architectures, converge on data center storage to hasten data center intelligence evolution.

  • Premiered: 05/04/17
  • Author: Mike Matchett
  • Published: TechTarget: Search Storage
Topic(s): TBA Mike Matchett TBA Data Center TBA Storage TBA Artificial Intelligence TBA AI TBA Optimization TBA Automation TBA Big Data TBA Internet of Things TBA IoT TBA real-time data TBA big data analytics TBA analytics TBA AWS TBA Amazon TBA HDFS TBA Hadoop TBA Hadoop Distributed File System TBA cluster TBA structured data TBA unstructured data TBA converged TBA convergence TBA container TBA containerization TBA software-defined TBA Cloud TBA Hybrid Cloud TBA Machine Learning TBA CPU
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Machine learning algorithms make life easier -- until they don't

Algorithms govern many facets of our lives. But imperfect logic and data sets can make results worse instead of better, so it behooves all of us to think like data scientists.

  • Premiered: 06/15/17
  • Author: Mike Matchett
  • Published: TechTarget: Search IT Operations
Topic(s): TBA Machine Learning TBA Big Data TBA Apache TBA Apache Spark TBA Optimization TBA Artificial Intelligence TBA web-scale TBA Storage TBA Mike Matchett
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Object storage use cases coming to a data service near you

Object storage, unlike traditional file and block storage, is well-suited to manage vast amounts of unstructured data.

  • Premiered: 07/06/17
  • Author: Steve Ricketts
  • Published: TechTarget: Search Storage
Topic(s): TBA Steve Ricketts TBA object storage TBA Storage TBA Cloud TBA Block Storage TBA unstructured data TBA REST TBA Data Storage TBA web 2.0 TBA data analytics TBA Amazon TBA Amazon S3 TBA Cleversafe TBA IBM Cloud TBA IBM Cloud Object Storage TBA IBM TBA Scality TBA Western Digital TBA Private Cloud TBA Public Cloud TBA Hybrid Cloud TBA Backup TBA Archive TBA scalability TBA scalable TBA data retention TBA compliance TBA File Storage TBA Capacity TBA storage-as-a-service
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Accelerate predictive analytics software with flash technology

For organizations that must analyze large amounts of data quickly and efficiently, nothing beats solid-state storage. Predictive analytics applications perform better with flash.

  • Premiered: 09/19/17
  • Author: Taneja Group
  • Published: TechTarget: Search Storage
Topic(s): TBA Storage TBA SSD TBA Flash TBA solid state TBA predictive analytics TBA Artificial Intelligence TBA AI TBA Machine Learning TBA data mining TBA IBM TBA Mike Matchett TBA deep learning TBA web-scale TBA Big Data TBA NVMe TBA big data cluster TBA MRAM TBA HDD