AI – threat or betterment for jobs performed by humans?
“Success in creating effective AI, could be the biggest event in the history of our civilization. Or the worst. We just don’t know. So we cannot know if we will be infinitely helped by AI, or ignored by it and side-lined, or conceivably destroyed by it, unless we learn how to prepare for, and avoid, the potential risks, AI could be the worst event in the history of our civilization.” That sounds kind of scary, doesn’t it?
But followed with:
“I am an optimist and I believe that we can create AI for the good of the world. That it can work in harmony with us. We simply need to be aware of the dangers, identify them, employ the best possible practice and management, and prepare for its consequences well in advance,” doesn’t really sound that bad.
I’m sure that each and every one of us has seen at least one movie featuring AI. A Sci-Fi movie, but terrifyingly realistic, in which AI powered (most likely human-looking) robots destroy our civilization or take over humanity… later on they stop needing people to service them, thanks to machine learning they master how to fix and enhance themselves…And that’s when we start thinking and getting concerned if this could really happen, or on a smaller scale, in our workspace, for instance.
Let’s take a look at a very basic task. Going to work. By public transport – your ticket will be scanned by a computer, so you know if it’s valid. You need to check which bus you should hop on – the easiest and fastest way to do it requires use of another machine – phone for instance. What if you go by car? The on-board computer can display pretty much any info about the vehicle. Tire pressure, gas use, it’ll show you the route and give you directions. Or another example – unlocking your phone with the use of FR (you can read about that in our previous post.
It’s true that AI powered computers can complete some difficult tasks, but still they aren’t as comprehensive as humans. Human brain’s ingenuity and dexterity is something that AI is yet to accomplish. AI powered machines in journalism for example, can create a pretty good basic news story. Most of the text is faultless, only about 20% needs correcting – due to grammatical mistakes, for now fixed by humans, at least for now.
It’s no doubt that machine’s abilities will improve within time, what might potentially result in replacement of some human workers, but people’s faculty and knowledge necessary in the future. Across all industries, some of the fastest growing job opportunities like software developers, social media specialists and data analysts are expanding thanks to the use of AI. Furthermore jobs like innovation and customer service, sales and marketing which base on human skills are also expected to increase in demand.
Taking this under consideration I think that we shouldn’t be so scared about human displacement caused by the increasing use of AI. It’s true that AI powered machines might replace people in some areas, but they’re also expected to create new jobs, actually more than might demolish.
Read more about how AI is expected to affect job deployment and employment here.
What’s new with HPE OneView 5.0?
HPE OneView enables you to set up a foundation of modern data center by transforming storage, servers, and networking into software-defined infrastructure. This tool has a programmatic, software-defined approach to managing infrastructure with competent automated workflo, a modern dashboard, and a complex partner ecosystem.
The new HPE OneView 5.0 provides an updated user interface, a common look and feel across HPE management tools like HPE OneView Global Dashboard. It also supports the HPE Superdome Flex.
This product offers an innovative concept for managing firmware compliance for all HPE ProLiant Gen10 servers, HPE BladeSystems and HPE Synergy. Once new firmware baseline (Service Pack for ProLiant) is loaded, a new firmware compliance view is generated on the HPE OneView dashboard. Moreover HPE OneView compares the installed firmware versions of the managed hardware with the new component versions in the added SPP and generates a compliance report. The firmware compliance dashboard enables the users to manage the firmware updates based on their schedules and quickly decide what firmware isn’t compliant.
The new HPE OneView, has improved performance, enhanced security and new management features. These betterments improve the overall HPE Synergy experience. Here are some most important examples:
DL and Apollo Servers now have automated SAN Storage volume provisioning
Provisioning storage for DL and Apollo servers is now much quicker thanks to automate SAN volume in 5.0 OneView, that uses server profiles and templets. This feature simplifies IT administrator’s task just to a several clicks that take only a few minutes.
The Future with HPE OneView
HPE One View was rated CRN’s 2018 Product of the Year with more than one million licenses sold. For those who want to manage their IT infrastructure in a more effective way OneView keeps on demonstrating it’s value with every new software update released.
Fibre Channel – foundation of storage of data center’s connectivity?
Why Fibre Channel? Fibre Channel is still the most secure, reliable, cost effective, and scalable protocol for connecting servers and storage together—and the only protocol that is purpose-built for handing storage traffic.
Due to expanding amount of data, businesses either make it or fail competing in the market place. Nowadays data is becoming a currency itself, that’s why businesses have to know how to manage and act up on it, in order to stay in the game. That’s why easy, proficient and reliable access data is key, same as the basal infrastructure connecting data storage systems to it’s user is imperative as never before.
In modern data center, architects can choose between many different connectivity options, yet Fibre Channel has been and will be the lifeblood of shared storage connectivity. It’s because of Fibre Channel’s reliability, security, cost effectivity and scalable protocol to connect storage and servers together, also there’s no other protocol that is well-adjusted for coping with storage traffic.
Even though Fibre Channel was created decades ago, it is and undeniably will be the first choice for data center’s connectivity to shared storage. When using Fibre Channel, a dedicated storage network is created, and SCSI storage commands are routed between server and storage devices which bandwidth is up to 28.05Gbps (32GFC) and with IOPS in excess of 1 million. Because of Fibre Channel’s original purpose for storage traffic, it’s accurate for delivering high-performance connectivity. HPE StoreFabric 16GFC and 32GFC adapters and switching infrastructure provide the kind of bandwidth, IOPS and low latency required in the data center today and for years to come.
For example, HPE StoreFabric 16GFC and 32GFC infrastructure can already support NVMe storage traffic, even before NVMe native storage arrays are mainstream. Other advanced capabilities include simplified deployment and orchestration, advanced diagnostics and enhanced reliability such as T-10 PI, dual-port isolation and more.
iSCSI is another popular option for storage connectivity. With iSCSI, the storage commands on a standard TCP/IP network, what makes it great for low-end to mid-range systems where performance and security are not the primary requirements. Many people have a wrong idea about Fibre Channel, that because it uses a dedicated storage network, it is more pricey than iSCSI. iSCSI can run on the same Ethernet network as all the regular network traffic.
Nonetheless, to deliver the performance that most customers need from their storage systems iSCSI needs to run on a segmented or dedicated ethernet network, isolated from the regular network traffic. In other words, a completely dedicated Ethernet network or Complex VLAN configurations and security policies are necessary. The one significant difference between iSCSI and FC is when DAC cables are used in iSCSI implementations. This solution can be used for an SMB customer only with a single storage array, because it limits the facility to 5 meters. Because of this curtailment DAC’s wouldn’t work well in bigger-scale data centers.
Most likely, the SCSI command set will be replaced by NVMe or Non-Volitile Memory Express commands.
NVMe – a streamlined command set designed for SSD and storage class memory (much more efficient than SCSI). It’s a multi-queue architecture with up to 64K I/O queues, with each I/O queue supporting up to 64K commands, compared to SCSI with a single queue and 64 commands, NVMe delivers a much higher performance.
Latest HPE StoreFabric 16GFC and 32GFC infrastructure that supports SCSI commands can also run NVMe commands in the SAN, or over the fabric as it is called. In order to take full advantage of NVMe, customers using Ethernet, will need to implement low latency RDMA over Converged Ethernet or RoCE. Nevertheless, this solution requires a complex loss-less Ethernet implementation using Data Center Bridging (DCB) and Priority Flow Control (PFC). The network complexity for NVMe over Ethernet might become an inextrictable barrier for most customers, especially once FC SAN deployed today would work just fine with the NVMe storage of tomorrow.
Artificial Intelligence in everyday life
Let me introduce you to FR mechanism that uses AI, so you can understand better how it works.
In general AI uses psychology of face perception. It runs given data through it’s software in order to make a conclusion. To detect and recognize human faces AI uses a measuring tool called nodal points. While scanning a face AI marks and measures distances between certain points on one’s face. AI creates a print with minimum 80 nodal points. The scan is similar to a plaster cast, but it’s more like a digital net. Because we show emotions (even unconsciously) through facial expressions, AI takes multiple variations of nodal point’s placement under consideration. Thanks to this ability it can identify and recognize an individual when angry, happy or sad.
When the face-print is complete, in order to assign it to a name it’s run through identity databases. The most important thing about face scan is that it’s pertinent exclusively to it’s owner, only 8/1000 scans might be misidentified. Even from a distance. Thanks to AI’s almost 100% infallibility FR is expected to perform very important functions without making mistakes.
Nowadays, we are familiar with facial recognition thanks to it’s use on social media, unlocking our phones or confirming bank transactions.
In the automotive industry car’s computers with FR software are able to identify dangerous driving behavior such as drowsiness, anger or when you’re not looking at the road. Countries like China, Japan and United Arab Emirates FR use for catching criminals, facilitating airport control, or identifying people entering crowded places like stadiums during sport events, thanks to CCTV cameras equipped with AI. These are just a few examples where artificial intelligence appears in everyday life.
Would you like to read more about the technology? https://www.xjeralabs.com/product/Product_Brochure_XIntelligence.pdf
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