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Information Happens

Leonard Hancock

Leonard Hancock is a Senior Editor and Blogger specializing in Information Technology.

Author's Posts

3 Things Executives Should Know About Data Breaches

by Leonard Hancock on October 3, 2017

When the next data breach occurs, executives who know the facts will have an advantage.

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1) Data Breaches Will Continue to Escalate

After the Equifax data breach, companies now fear that the question is when, not if, their data will be compromised. U.S. companies and government agencies experienced a record 1,093 data breaches in 2016, a 40% increase from 2015. Moreover, this may be the tip of the iceberg; a significant portion of cybercrime goes unreported.

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Topics: Cybersecurity

Understanding Semantic Search

by Leonard Hancock on August 17, 2017

Semantic search technology creates challenges and opportunities for businesses retrieving, optimizing and publishing content.Fotolia_136877852_XS.jpg

In today’s world, businesses have come to expect immediate, relevant answers to their queries, whether on the Internet or searching in-house repositories of data. Receiving these answers provides competitive advantage, allowing companies to leverage information for actionable intelligence. The ability to manage and share relevant data can determine business success or failure.

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Topics: semantic search

Why CEOs Should Have a Blockchain Strategy

by Leonard Hancock on July 27, 2017

Oversight from senior executives can ensure blockchain benefits entire organizations.

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A company’s executives can establish its culture as one of integrity. Often, what leadership needs to accomplish their vision is an atmosphere of trust: trust between employees and leadership; trust between the company and its customers; and trust that a company’s operations are proceeding securely – especially its financial operations.

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Topics: blockchain

The Uber Disruption

by Leonard Hancock on May 31, 2017

While transforming transportation, Uber has offered a model for innovative companies to cause disruption throughout the economy.

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The success of Uber, which is now the fastest growing company in the world, (in 2015 it announced a USD$51 billion valuation), is a bit of a mystery at first glance. Uber is a personal transportation company that doesn’t own any cars. The company makes it fortune by connecting those in need of a service, in this case transportation, with those offering a compatible service, by using a peer-to-peer business model. The transaction is digital; you use an app to summon or schedule an Uber-driver, and as soon as your ride arrives, off you go.

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Topics: disruption

HPC and Data Lakes Lower Cost and Increase Flexibility of Big Data

by Leonard Hancock on May 12, 2017

When leveraged for big data projects, high-performance computing and data lakes are an attractive alternative to structured data warehouses.

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Businesses today have found that managing big data presents its own set of challenges; when thousands of sources are accessed and collected, the process of handling information becomes difficult. The older method of storage—filing information in a directory that ranks it according to its relative importance (referred to as a data warehouse)—is an expensive way to treat large data volumes. Enter the data lake as a solution.

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Topics: Big Data, Unstructured Data, Data Lakes

Information Security of Containers Still in Development

by Leonard Hancock on April 27, 2017

Security concerns around container-based virtualization continue to haunt a promising technology

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Container-based virtualization has emerged as one of the top trends in enterprise IT over the last five years. Containers offer a level of flexibility and efficiency that is lacking in Virtual Machines (VMs), allowing cross platform integration. But in certain and crucial respects, container-based VMs lack the security of a VM running a dedicated operating system. 

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Topics: Cybersecurity, Cloud Computing, Virtualization, Containers

The Upside of Containers in a Virtual Environment

by Leonard Hancock on April 13, 2017

What Is Containerization, and How Is It Changing Virtualization? 

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The necessity for running applications on different platforms has long posed a challenge for IT developers, and this issue was initially addressed by the development of virtual machines (VMs) to enable multiple operating systems (OSs) on a single server.

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Topics: Cloud Computing, Virtualization, Containers

Shadow IT Supports Cloud Technology

by Leonard Hancock on March 30, 2017

Authorized and otherwise, usage of cloud technology expands despite reports of its eventual demise.  

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Edging Out the Cloud

Some followers of the IT industry believe that the cloud’s days are numbered. Peter Levine, general partner of venture capital firm Andreessen Horowitz is one who considers the cloud’s demise inevitable. Levine believes that the centralized model of cloud computing is unsustainable in the coming era of the Internet of Things (IoT). Network latency, Levine thinks, is simply too big an issue given the speed and clutter of cloud computing.

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Topics: Edge Computing, Fog Computing, Cloud Computing, Datacenters

Edge Computing Takes Processing Back from the Cloud

by Leonard Hancock on March 23, 2017

By shifting computing power back to its source, edge computing solves latency problems with the cloud and the internet of things.edge-computing.jpg

Information Traffic Jams

With the development of increasingly sophisticated Smart Devices, the speed of data transfer has become a significant challenge for information technology (IT) companies. Transmitting raw or unstructured information in large quantities slows the speed with which a device can respond and carry out its function. Transmission lines become increasingly clogged by millions of users, and yet some data, such as the reaction of a self-driving car to road conditions, is time sensitive, and must be delivered immediately.

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Topics: Edge Computing, Fog Computing, Cloud Computing, Datacenters

Relationships Define Natural Language Processing

by Leonard Hancock on March 13, 2017

Vectors, ontologies, embeddings and sentiment analysis: how relationships between words are the foundation of NLP
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Human language follows unexpected patterns. Varied forms of syntax and metaphor, together with context and repetition, make classification challenging for both humans and machines. Manual classification of unstructured linguistic data by human curators can be valuable, but without technological assistance, is time consuming and potentially rife with errors. When such “natural language” data is left untouched it is less usable. Enterprises are faced with the challenge of transforming huge amounts of this raw data into actionable intelligence.

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Topics: Machine Learning, AI, Natural Language Processing, Ontologies, Sentiment Analysis

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Welcome to the InfoDesk Blog, "Information Happens" where we feature articles, company news, including new products/services, webinars, white papers and more.

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