HP Enterprise Spins Software Division into Micro Focus International
October 23, 2017
It would seem that the saga of HP’s lamented 2011 Autonomy acquisition is now complete—Reuters announces, “Hewlett Packard Enterprise to Complete Software Spin-Off.” Reporter Salvador Rodriguez explains:
The enterprise software businesses, which include the widely used ArcSight security platform, have been merged with Micro Focus International Plc (MCRO.L), a British software company. HPE was formed when the company once known as Hewlett-Packard split into HPE and HP Inc in November 2015.
The spin-off comes as HPE adjusts to the rapid shift of corporate computing to cloud services offered by the likes of Amazon.com Inc (AMZN.O) and Microsoft Corp (MSFT.O). HPE aims to cater specifically to customers running services both on their own premises and in the cloud, said Ric Lewis, senior vice president of HPE’s cloud software group, in an interview.
The spin-off marks the end of HP’s unhappy tangle with Autonomy, which it acquired for $11 billion in an aborted effort to transform HP into an enterprise software leader. The ink was barely dry on the much-criticized deal when the company took an $8.8 billion writedown on it.
But wait, the story is not over quite yet—the legal case that began when HP sued Autonomy ’s chief officers continues. Apparently, that denouement is now HPE’s to handle. As for Micro Focus, Rodriguez reports it will now be run by former HPE Chief Operating Officer Chris Hsu, who plans to focus on growth through acquisitions. Wait… wasn’t that what started this trouble in the first place?
Cynthia Murrell, October 23, 2017
Equifax Hack Has Led to Oracle Toughening Up
October 19, 2017
According to a timely piece in SearchOracle, its parent company has muscled up in response to its recent troubles, according to the article, “Machine Learning and Analytics Among Key Oracle Security Moves.”
This comes on the heels of the infamous Equifax hack, which was made vulnerable due to a weakness in Apache Struts. To their credit, Oracle has owned up to the problem and made it public that they are not going to wilt in the face of criticism. In fact, they are doubling down:
Oracle’s effort to help IT teams reprioritize their defenses, he said, takes the form of a new unified model for organizing data, rolled out as part of an updated Oracle Management Cloud suite. Advanced machine learning and analytics will enable automated remediation of flaws like Struts…
The story continues:
(Oracle’s) approach to machine learning is uniquely its own, in the sense that it is being delivered as a core enhancement to existing offerings, and not as a stand-alone technology that is personalized by a mascot or nickname — a la Einstein from Salesforce or Watson from IBM.
We like that Oracle isn’t trying to throw the baby out with the bathwater, here. We agree, there are a lot of things to like and overhauling would not be the solution. Via analytical improvements, we suspect that Oracle will recover from the Equifax snafu and be stronger for it. They certainly sound like their focus is on that.
Patrick Roland, October 19, 2017
The Cloud Needs EDiscovery Like Now
October 16, 2017
Cloud computing has changed the way home and enterprise systems store and access data. One of the problems with cloud computing, however, is the lack of a powerful eDiscovery tool. There are search tools for the cloud, but eDiscovery tools help users make rhyme and reason of their content. Compare The Cloud reports that there is a new eDiscovery tool to improve the cloud, “KroLDiscovery Brings End-To-End eDiscovery To The Cloud With Nebula.” Nebula is the name of KrolLDiscovery’s eDiscovery tool and it is an upgrade of eDirect365, building on the software’s processing and review capabilities.
Nebula was designed with a user-friendly eDiscovery approach that simplifies otherwise complex tasks. Nebula is also a web-based application and it can be accessed from most browsers and mobile devices. The benefit for Windows users is that it can be deployed within Windows Azure to bring scalability and rapid deployment capabilities.
KrolLDiscovery is proud of their newest product:
‘We are excited for the future of Nebula,; said Chris Weiler, President and CEO of KrolLDiscovery. ‘Expanding our eDiscovery capabilities to the cloud is a benefit to our multi-national and international clients as they can now process, store and access their data across the globe. All the while, we are dedicated to providing the same industry-leading service we are known for by our clients.’
Nebula was designed to improve how users interact and use their content on a cloud-based system. Cloud computing has a real-time and portable air about it, but its weaknesses lie in lag and security. Perhaps Nebula will enhance the former making its other weaknesses a mere shadow of the past.
Whitney Grace, October 16, 2017
Amazon Factoids: Match Game for Google, IBM, and MSFT?
September 18, 2017
I am not sure if the data in this Amazon write up are accurate. Navigate to “Prime Day 2017 – Powered by AWS” and make your own decision. I noted these “factoids” about Amazon’s cloud Olympic winning dead lift:
Block Storage – Use of Amazon Elastic Block Store (EBS) grew by 40% year-over-year, with aggregate data transfer jumping to 52 petabytes (a 50% increase) for the day and total I/O requests rising to 835 million (a 30% increase). The team told me that they loved the elasticity of EBS, and that they were able to ramp down on capacity after Prime Day concluded instead of being stuck with it.
NoSQL Database – Amazon DynamoDB requests from Alexa, the Amazon.com sites, and the Amazon fulfillment centers totaled 3.34 trillion, peaking at 12.9 million per second. According to the team, the extreme scale, consistent performance, and high availability of DynamoDB let them meet needs of Prime Day without breaking a sweat.
Stack Creation – Nearly 31,000 AWS CloudFormation stacks were created for Prime Day in order to bring additional AWS resources on line.
API Usage – AWS CloudTrail processed over 50 billion events and tracked more than 419 billion calls to various AWS APIs, all in support of Prime Day.
Configuration Tracking – AWS Config generated over 14 million Configuration items for AWS resources.
Is Amazon reminding customers or competitors that it does more than sell books and buy grocery stores? Is Amazon doing PR?
Stephen E Arnold, September 18, 2017
Watson IBMs Only Chance at Avoiding Extinction
September 1, 2017
IBM is facing a massive problem as stock prices continue to drop – they aren’t relevant anymore. While new companies like Amazon and Facebook, along with fellow oldies Apple and Google, continue to grow in popularity and revenue, IBM is slowly but surely falling behind.
Forbes got straight to the point, recently, telling IBM to ‘go big or go home’. Their advice?
Rometty should aggressively rebrand IBM by simply naming it after the one thing in which IBM remains a market leader – Watson. All efforts in the cloud should be geared towards not just acting as a service provider but differentiating IBM by tailoring Watson’s services to the given client’s data so it can augment their decision-making. While they’re at it they can rename their cloud effort Watson Cloud.
Continuing with Forbes analysis of IBM’s situation, at the end of the day if the average millennial, I mean American, can’t use their AI technology in their day-to-day lives, they don’t care about it. The end. For IBM to catch up with the pack they must start routing their resources and attention to expanding Watson – and quickly.
Catherine Lamsfuss, September 1, 2017
Docurated Expands Salesforce to Broaden Search
August 18, 2017
Enterprise search is growing to make the user experience easier as the demand for everyday use by company employees not deemed ‘data analysts’ is growing. One company slowly making a name for themselves by providing such a service is Docurated.
CMSWire explains their new federated search within Salesforce as the following,
…both sides win with this solution. By delivering content through the native search bar in Salesforce.com — the most used feature of the platform — marketing gets to use the most trafficked channel to drive content consumption, while sales receives content in context…Its Content Cloud uses a combination of inputs and analytics about the effectiveness of content, combined with powerful search, to retrieve relevant content…It fully integrates with all existing cloud and on-premises content repositories and tracks versions of content, sharing only the latest and most accurate version within the organization.
We’re seeing this trend continue to grow with more search vendors making the search process more user-friendly and able to work in multiple functions and across applications. While Google is going ad-happy with their user experience, most search companies are realizing Google had the right idea in the beginning and are making strides to duplicate it within enterprise search.
Catherine Lamsfuss, August 18, 2017
Big Data Visualization the Open Source Way
August 10, 2017
Big Data though was hailed in a big way, it is yet to gain full steam because of a shortage of talent. Companies working in this domain are taking another swipe by offering visualization tools for free.
The Customize Windows in an article titled List of Open Source Big Data Visualization Tools:
There are some growing number of websites which write about Big Data, cloud computing and spread wrong information to sell some others paid things.
Many industries have tried the freemium route to attract talent and promote the industry. For instance, Linux OS maker Penguin Computing offered its product for free to users. This move sparked interest among users who wanted to try something other than Windows and Mac.
The move created a huge user base of Linux users and also attracted talent to promote research and development.
Big Data players it seems is following the exact strategy by offering data visualization tools free, which they will monetize later. All that is needed now is patience.
Vishal Ingole, August 10, 2017
Social Intelligence a Nice Addition to Analytics, but Not Necessary
August 9, 2017
Social media is an ever-evolving tricky beast to tame when it comes to analytics which is why most companies do the best they can with the resources appointed to the job. Social intelligence gurus, however, are constantly pushing more ways to make sense of the mounting social data.
A recent CIO article exploring the growing field of social intelligence highlighted the role of Sally-Anne Kaminski, Global Social Media Strategy Manager, at Zebra Technologies. Her job was explained as:
When the sales enablement team approaches her about prospective clients, Kaminski taps Oracle’s Social Cloud, a social relationship management tool, to build a comprehensive dashboard to help the sales representative nail the sale. Kaminski loads Social Cloud’s Boolean search with keywords, phrases and topics to discover in conversations across Facebook, Twitter and LinkedIn, as well as message boards and blogs.
Is it effective though? Even Kaminski admits there is no data showing her role analyzing social media data (beyond what analytics alone can do) is benefiting anyone. At the end of the day, social intelligence is reliant on the human touch (think more money) and we must question the operational value it provides.
Catherine Lamsfuss, August 9, 2017
Lost in Translation?
August 3, 2017
Real-time translation is a reality with a host of apps. However, all these apps rely on real-time Cloud Computing for proverbial accuracy. Lingmo One2One Universal Translator seems to be different.
According to a product review published by Forbes and titled Lingmo One2One Universal Translator Preview, the reviewer says:
What gives me pause about the Lingmo, like the other universal translator devices, is the company has no track record in making hardware. Getting the translation stuff right is, I’m sure, hard enough. Getting all that to work in a portable device adds a whole other level of complexity.
Attempts have been made earlier to perfect the translation system, but so far no one has succeeded even decently. The problem is the complexity of human interactions. Though the device is powered by IBM’s AI program Watson, how it manages to store and process the humongous amount of text or voice based communication within the small box is not understandable.
Scientists have been trying to crack the natural language processing problem for a couple of years. Even with the vast amount of resources, it still looks like a distant possibility.
Vishal Ingole, August 3, 2017
Google Abandons Email Ads; Stops Reading User Emails
July 11, 2017
Gmail, the largest email provider, has stopped the email ads program after enterprise customers raised concerns over privacy and enterprise data.
As reported by Bloomberg in an article titled Google Will Stop Reading Your Emails for Gmail Ads, the author of the article says:
Google is stopping one of the most controversial advertising formats: ads inside Gmail that scan users’ email contents. The decision didn’t come from Google’s ad team, but from its cloud unit, which is angling to sign up more corporate customers.
Launched on in April 2004, Gmail initially was an invitation only email service. As the user base increased, the then parent company Google decided to sell ad space within the mailbox to advertisers based on email contents.
Gmail now will abandon this practice as many corporate clients have enrolled for the paid version of the email named G Suites. The decision came from Diane Greene, who heads the Cloud division of Alphabet, Inc. Alphabet’s dominance over search engine business continues. The next bastion might be Cloud services, as indicated by this move. Right, Google?
Vishal Ingole, July 11, 2017
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