Benefits of wearable technology in business

Benefits of wearable technology in business

Benefits of wearable technology in business

Benefits of wearable technology in business

Wearable tech isn’t only for dwelling usage and wiz kiddies but is likewise being embraced into the industry community. You can find a lot of great things about bringing this technology to the office and several diverse alternatives out there. Wise watches and exercise circles would be definitely the absolute most well-known apparatus on the current market but services and products such as google glass and outfits (chiefly employed for athletes) using wearable technology designed inside these are likewise rising.


Possessing a hands-free apparatus was reported to maximize growth by 8.5 percent and gratification from 3.5 percent in just a firm as staff members might acquire and inspection data onboard, in addition to delivering the info they return right back into this provider. Even the potential for voice orders is more very useful, supplying a free hand’s completely free encounter. Samsung and pay-pal have additionally believed to function as creating a program to permit obligations to be manufactured as a result of a wise opinion- that will be a convenient attribute for absolutely any practitioner about the road.

Never to say how much far more accepted a quick glance to a wristwatch or other wearable technician would be compared to hunting documents or apparatus at an interview. Letting information to be received and obtained activity on directly there and afterward.


Together with the modern wearable technology industry attracts exciting and new programs made specifically for companies to make use of. Still, a continuous investment decision and advancement course of action for all large businesses programs for whatever from inventory management to trade procedures are rising and producing greater positive aspects of wearable technology at work.

Specialised programs enable companies to become better whenever they truly are doing work; also together with them becoming specifically made for organizations, the alternatives are infinite.
But, issues might happen as corporations regularly overlook privacy and security problems by attracting your own apparatus into the job- lending the IT departments longer to become careful of.

Each apparatus caused acts within an access level for hackers, therefore, it’s necessary to get some type of protocol in position to minimize the chance of information theft. Eliminating usage of corporation data may additionally help cut back threats into an organization and lots of organizations will probably have protocols in place which may simply have to get extended to pay different apparatus and wearable technology. Having this shot into consideration wearable technology is regarded as something that’s critical towards the efficient functioning of an industry over most businesses and several apparatus being drawn out are far a lot more ‘complicated’ and also do confine a number of their possibility.

Wearable technology will and certainly will improve efficacy if organizations variable inside the market they’re in, industry dimensions and also by what method the firm remains by the business itself. The huge benefits may do the job to one person or the organization you’re in, also it really is something worth considering that.


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LECTRA : Lectra announces the acquisition of Kubix Lab

Lectra, the technological partner for companies using fabrics and leather, announces the signing of a share purchase agreement to acquire the entire capital and voting rights of the Italian company Kubix Lab.

Founded at the end of 2015, Kubix Lab has developed a cutting-edge technological offer called Link. This offer enables fashion brands to manage, from end-to-end, all product information deriving notably from multiple IT systems (ERP, PDM, PLM.), within one single application. Users can modify, enrich or add new data, while maintaining data synchronization with all IT systems. In just a few months, Link has convinced over ten high-end Italian brands of its value.

“We were particularly impressed by the relevance of the solution created by Kubix Lab,” underlines Daniel Harari, Chairman and Chief Executive Officer, Lectra. “By capitalizing on their knowledge of best practice, the founders of Kubix Lab knew how to develop an offer perfectly adapted to the expectations of fashion companies. Link enables all players involved in product development, manufacturing and sales to collaborate in real time, in a simple and efficient way, around exactly the same data.”

“We are delighted to join Lectra. We are convinced its leadership, global presence, strong expertise in the fashion industry and the richness of its product portfolio will enable us to develop an integrated offer with high value for all Lectra customers,” states Giampaolo Urbani, Chief Executive Officer and co-founder of Kubix Lab.

The founders of Kubix Lab will be in charge of developing an integrated Lectra – Link offer, which will complement – and reinforce – Lectra’s entire offer.

“Product data is at the heart of Link. We took an approach diametrically opposed to existing solutions on the market and designed an offer which is highly innovative, flexible, evolutionary and easy to use,” explains Pierluigi Beato, R&D director and co-founder of Kubix Lab. “With Lectra, we will take Link to the next level.”

The transaction involves the entire acquisition of Kubix Lab for the maximum amount of €7 million: €3 million paid when the acquisition agreement is signed; €1.3 million and €2.7 million paid respectively in 18 and 36 months’ time, providing objectives are met.

Final completion of the acquisition should take place by January 31, 2018.

These amounts will come from Lectra’s available cash, with no financing from the bank. Kubix Lab will be consolidated into Lectra’s accounts, effective from the signature of the final agreement.

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Facebook shakes up its AI research team

The company didn’t have much choice. LeCun noted that both the research and Applied Machine Learning leaders were reporting to Facebook’s technology chief, who was unsurprisingly overwhelmed given how important AI has become. Now, only Pesenti will report to the CTO — and LeCun will get to focus more on actual research and less on daily business.

This should also create a more harmonious relationship between Facebook’s AI divisions. While some of the Applied Machine Learning team is joining the regular Facebook infrastructure group, those staying put will work with researchers to bring more of their projects into honest-to-goodness shipping products. To put it another way, clever ideas should be stuck in the lab.

The timing of the role changes couldn’t be more appropriate. Facebook just announced a fundamental shift in the prioritization of the News Feed, and it’s planning to rank trusted sources as part of its ongoing bid to fight fake news. The company has frequently been accused of relying too heavily on AI to solve all its problems, but the new structure might help it make better use of AI or apply it to areas where it wasn’t previously practical.

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Article Credit: Engadget

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What happens when digital eyes get the brains to match?

We usually think of surveillance cameras as digital eyes, watching over us or watching out for us, depending on your view. But really, they’re more like portholes: useful only when someone is looking through them. Sometimes that means a human watching live footage, usually from multiple video feeds. Most surveillance cameras are passive, however. They’re there as a deterrence, or to provide evidence if something goes wrong. Your car got stolen? Check the CCTV.

But this is changing — and fast. Artificial intelligence is giving surveillance cameras digital brains to match their eyes, letting them analyze live video with no humans necessary. This could be good news for public safety, helping police and first responders more easily spot crimes and accidents and have a range of scientific and industrial applications. But it also raises serious questions about the future of privacy and poses novel risks to social justice.

What happens when governments can track huge numbers of people using CCTV? When police can digitally tail you around a city just by uploading your mugshot into a database? Or when a biased algorithm is running on the cameras in your local mall, pinging the cops because it doesn’t like the look of a particular group of teens?

These scenarios are still a way off, but we’re already seeing the first fruits of combining artificial intelligence with surveillance. IC Realtime is one example. Its flagship product, unveiled last December, was billed as Google for CCTV. It’s an app and web platform named Ella that uses AI to analyze what’s happening in video feeds and make it instantly searchable. Ella can recognize hundreds of thousands of natural language queries, letting users search footage to find clips showing specific animals, people wearing clothes of a certain color, or even individual car makes and models.

In a web demo, IC Realtime CEO Matt Sailor showed The Verge a version of Ella hooked up to around 40 cameras surveilling an industrial park. He typed in various searches — “a man wearing red,” “UPS vans,” “police cars” — all of which brought up relevant footage in a few seconds. He then narrowed the results by time period and location and pointed out how users can give thumbs-up or thumbs-down to clips to improve the results — just like Netflix.

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Article Credit: The Verge

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Element AI opens London outpost with focus on ‘AI for good’

Element AI opens London outpost

Element AI opens London outpost

Element AI — which last year raised $102 million to build an incubator-meets-consultancy to work with multiple businesses as they launch new services and systems based on artificial intelligence — is entering the next phase of its growth this week.

The Canadian startup — co-founded by Jean-François Gagné, Nicolas Chapados, and Yoshua Bengio — is opening an outpost in London, its first international expansion. One main focus will be to work with charities, non-governmental organizations and others on “AI for good,” alongside Element AI’s existing work in finance, cybersecurity, manufacturing, logistics and robotics.

The idea is smart and timely: at a moment when many might see the advances of AI as potentially more dystopian and encroaching than beneficial — not to mention reserved for the select few who have the financial and human resources to build AI systems — Element AI wants to position itself, and AI, as something that can be used to help everyone.

“There are so many exciting people in the world of academia and artificial intelligence wanting to do interesting stuff. How can we make sure our tools are not just meeting the needs of big companies? There are others who could also use them,” Dr Julien Cornebise, who will be leading Element AI’s offices in London, said in an interview.

Notably for a startup that is looking to take on the likes of Google in a bid to “democratize” the intellectual and operational capital needed to build out innovative products based on AI, Cornebise himself comes to Element AI from DeepMind, the UK startup Google acquired back in 2014 that now plays a central role in the company’s AI efforts.

He had been one of the first employees at DeepMind, and since leaving in 2016 — in search of, he tells TechCrunch, an environment that felt more like a smaller startup again — he’s been working pro bono at Amnesty International.

He wouldn’t get too specific about what he’s been doing at the human rights organization, except to say that it involved work in “conflict resolution” and working out a way to build algorithms that could help identify bad practices on a larger scale than the organisation could do with limited human resources. (It sounds like the aim is to launch this service later this year.)

While the Amnesty work has pre-dated Element AI coming to London, the idea, he said, would be to use it as a template for how the startup hopes to collaborate with groups.

“I want to be super careful here because I’ve seen too many enthusiastic machine learning people say, ‘Stand back! We are going to save the world!’” Cornebise said (a comment you can imagine might apply just as easily to a more controversial project at DeepMind as it might to the best/misguided intentions of Facebook’s algorithms). “We’ve actually got the easy part. There are people who are going to jail for doing their jobs. I want now to say, ‘How can we help?’”

The startup’s move to London underscores how the UK has put itself on the map when it comes to AI research and applications, with universities like Oxford, Cambridge, Imperial College and others all breaking ground and producing leading thinkers and startups in areas like computer vision, deep learning and robotics.

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Article Credit: TechCrunch

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AI can read: Tech firms race to smarten up thinking machines

AI can read

AI can read

Seven years ago, a computer beat two human quizmasters on a “Jeopardy” challenge. Ever since, the tech industry has been training its machines to make them even better at amassing knowledge and answering questions.

And it’s worked, at least up to a point. Just don’t expect artificial intelligence to spit out a literary analysis of Leo Tolstoy’s “War and Peace” any time soon.

Research teams at Microsoft and Chinese tech company Alibaba reached what they described as a milestone earlier this month when their AI systems outperformed the estimated human score on a reading comprehension test. It was the latest demonstration of rapid advances that have improved search engines and voice assistants and that are finding broader applications in health care and other fields.

The answers they got wrong — and the test itself — also highlight the limitations of computer intelligence and the difficulty of comparing it directly to human intelligence.


“We are still a long way from computers being able to read and comprehend general text in the same way that humans can,” said Kevin Scott, Microsoft’s chief technology officer, in a LinkedIn post that also commended the achievement by the company’s Beijing-based researchers.

The test developed at Stanford University demonstrated that, in at least some circumstances, computers can beat humans at quickly “reading” hundreds of Wikipedia entries and coming up with accurate answers to questions about Genghis Khan’s reign or the Apollo space program.

The computers, however, also made mistakes that many people wouldn’t have.

Microsoft, for instance, fumbled an easy football question about which member of the NFL’s Carolina Panthers got the most interceptions in the 2015 season (the correct answer was Kurt Coleman, not Josh Norman). A person’s careful reading of the Wikipedia passage would have discovered the right answer, but the computer tripped up on the word “most” and didn’t understand that seven is bigger than four.

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‘Article Credit: The Denver Post

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Facebook appoints a new AI research head

Facebook appoints a new AI research head

Facebook appoints a new AI research head

Facebook has a new executive coming on to unify its research efforts in the field of artificial intelligence.

Former IBM exec Jérôme Pesenti will be taking the lead at Facebook’s AI research (FAIR) arm, Quartz reports. Yann LeCun, who previously held the lead role, will be shifting to a more research-focused role where he will continue to drive the scientific agenda of FAIR in his new role as chief AI scientist, a Facebook spokesperson tells TechCrunch.

The division now has 130 employees, and one of Pesenti’s tasks will be leading the group as it further scales. In September, Facebook announced the opening of a FAIR lab in Montreal and just a few days ago, the company announced plans to double the size of its Paris AI research team to 100 people by 2022.

Pesenti joined IBM to lead the development of its Watson platform after the startup he co-founded, Vivisimo, was acquired by the company in 2012. He went on to later become the CEO of BenevolentTech. As VP of AI, Pesenti will report directly to CTO Mike Schroepfer.

“There was a need for someone to basically oversee all the AI at Facebook, across research, development, and have a connection with product,” LeCun told Quartz. “AML and FAIR were reporting to the CTO, who no longer has the bandwidth to take care of that, given the increased importance of AI and more systems built around deep learning.”

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Article Credit: TechCrunch

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Project Management Techniques and Tools trends

Project Management Techniques and Tools

Project Management Techniques and Tools

Let us review some inventions that job managers may research to support handle their endeavors whilst still improving consumer experience & above all, giving far better price with their clients.

Joining internet based cooperation applications

A job seeker lately featured a brand new societal networking program Periscope which lets Twitter end users to broadcast real-time online video content into an international market or to some several. That was us believing Valve of fresh manners we, along with many others will, without doubt, utilize this tech to conquer alliance challenges out from distant offices. Inspired from the creator since the “system for real truth”, ” Periscope for today stays a societal broadcasting program adopted by adolescents, but it will not exhibit that an advanced use of technological innovation which, when used might potentially work in combination with job management program. Overcoming safety problems Might Be a barrier for early adopters but it simply may be an Affordable alternative for bettering communicating stations inside a job Group or even a reachable Way of communicating directly to their own client’s industry is embracing innovative methods to empower much better access for advice. Society can be beginning to anticipate more equilibrium between societal and company networking platforms. Together with this much invention grown over the societal networking kingdom, organizations can succeed by tracking the robustness and worthiness of those applications ahead of considering they can fit in their tech plan. Over the subsequent a year we will see additional convergence in between internet small business applications and programs which were at first introduced over the social networking area.

Higher (and cleverer) connectivity

As job management applications are dependent upon numerous specialized elements that range from useful resource calendars, CAD approaches and Assessing instruments to mention only a few, the necessity to become more elastic and incorporate with Best-of-breed software has now increased within immediate past. You’ll find several grade inch and also mid-market ERP solutions for an organization that may offer the fiscal straight back conclusion and job qualities to take care of complex job phases nonetheless at which a few fared properly in resourcing they can lack estimating, thus simple integration gets necessary. There is been a development of .api’s allowing bi-directional data stream between applications, but hardly any solutions can possibly be contemplated an easy task to incorporate without appreciable charge, time, continuing hazard and functional hassle. Today interoperability and responsive design of ERP not been crucial that you tech-savvy potential buyers.

Clients who count upon habit assembled, specialized software do not necessarily search to get an all in 1 way of the business program. We view the organization program marketplace trending longer toward SME’s partnering using ERP suppliers which contain smart connectivity systems or devices integrators as opposed to distributors that assert they’re able to get it done all, even in just one software.

Job Managers rising ingestion of Bigdata

Aggregating and getting ready information from several disparate sources and systems is now a huge argument tip for a lot of endeavor established organizations. Reliance on prompt information letting them produce informed selections has definitely become the essential driver if thinking of a business-wide BI plan.

As just about every job supervisor knows endeavors may blow off out at very limited time frames. Enabling managers with real-time KPI investigation that points in metrics including as for instance deviations of projected budgets and endeavor cashflow calling could ensure endeavor supervisors stay in front of this curve. Even the amalgamation of data feeds out of strength fleet monitoring programs and also other origins of what is referred to as ‘unstructured information’ is rising. The size and frequency of information taken for investigation are beginning to create headaches for CIO’s who check out normalize this particular data, then eat up it within just dash perspectives.

Many noninvasive BI providers fall well short of this marker. At the top that they supply a normal subgroup set of metrics, however, lack the aptitude exhibit long-term developments and comparisons as time passes.

Powerful data mining and ad-hoc investigation have been capabilities that establish complex BI remedies aside from lessor offers, and which usually means that most job managers could possibly be passing up the actual good thing about industry analytics.

As larger job businesses are still incorporate best of breed applications by using their ERP as well as also their enormous data develops, the demand for data warehousing solutions becomes more overriding in offering exactly the mechanics to confirm, interrogate, reorganize and restructure disaggregated info. Data-warehousing is getting vital in handling and expediting this time-critical info to anybody who wants it.

Therefore expect you’ll see greater utilization of pre-assembled or partly developed information warehouse alternatives which boost aggregation along with metadata administration. These programs will need to eventually become less complicated and much more intuitive to work with because data that is big develop even bigger.


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Cisco Accelerates Multicloud Journey with HyperFlex Platform Innovations

Cisco today announced platform innovations for Cisco® HyperFlex™ with the 3.0 software release that delivers performance and simplicity for any application, on any cloud, at any scale.   Enhancements include support for Microsoft Hyper-V, stretch clusters, containers, and new multicloud services that enable applications to be deployed, monitored and managed in any cloud. The result is a platform that uniquely enables development and deployment of both traditional and cloud-native applications on a common hyperconverged platform.

Cisco HyperFlex: The Power to Simplify More
Other hyperconverged solutions neglect the crucial roles that networking and distributed file systems play in the performance and scaling of clustered servers. Cisco redefined hyperconvergence with a complete end-to-end approach that engineers high performance server and networking technology, with a purpose-built filesystem. The result is industry leading performance that enables customers to efficiently support a broader array of applications, including databases and mission critical ERP workloads.

“HyperFlex’s approach enables high performance of Microsoft SQL and Oracle databases and critical applications with faster delivery of the environment, lower costs, and more effective management,” said Edivaldo Rocha, CEO, CorpFlex.

The latest release of HyperFlex builds on this superior architecture and expands the opportunity for customers to simplify more.  “Customers tell us they need operational simplicity, effortless scalability, and the ability to serve the unique needs of each of their applications,” said Liz Centoni, senior vice president and general manager of Cisco’s Computing Systems Product Group.  “The new HyperFlex platform underscores our commitment to continuously simplify and improve data center operations and help organizations thrive in a multicloud world.”

Run Any Application
The HyperFlex 3.0 software release delivers significant advancements for mission critical and cloud-native workloads:

  • Multi-hypervisor Support. In addition to VMware ESXi, HyperFlex adds hypervisor support for Microsoft Hyper-V.
  • Container Support. Data platform enhancements include a FlexVolume driver to enable persistent storage for Kubernetes managed containers, enabling development and deployment of cloud-native applications on HyperFlex.
  • Enterprise Application Validations. HyperFlex is ready for a wide range of workloads with workload profiling and sizing tools available to support application migration projects. In addition to design and deployment guides for Virtual Server Infrastructure (VSI) and Virtual Desktop Infrastructure (VDI) , Cisco design guides are now available for mission critical databases, analytics and ERP applications – including Oracle, SQL, SAP, Microsoft Exchange, and Splunk.

On Any Cloud
Organizations today require workload mobility and application monitoring across public and private clouds.  HyperFlex is the platform for the multicloud era featuring new service integrations with Cisco’s multicloud software portfolio:

  • Application Performance Monitoring. AppDynamics with HyperFlex enables performance monitoring of hybrid applications running on HyperFlex and across multiple clouds.
  • Application Placement. Cisco Workload Optimization Manager (CWOM) for HyperFlex assists customers with automated analysis and workload placement.
  • Cloud Management. Introduced last year, CloudCenter for HyperFlex enables workload lifecycle management across one to many private and public clouds.
  • Private Cloud. CloudCenter for HyperFlex simplifies the deployment and management of VM’s, containers and applications, making it easy for developers and administrators to consume private clouds.

At Any Scale
Only Cisco enables customers to power rapidly growing workloads with comprehensive resiliency while enjoying the global reach of cloud-based systems management.

  • Greater Scalability and Resiliency On-prem. Supporting customers with higher virtual machine density,  HyperFlex clusters now scale to 64 nodes with added resiliency through fully-automated availability zones.
  • Stretch Clusters Across Datacenters. To meet data protection and high availability requirements, HyperFlex can now be configured into stretch clusters for campus and metro mission critical availability.
  • Cloud-based Management Across Datacenters.   Cisco Intersight now supports HyperFlex Cloud Deployment, extending simplified deployment and management to any remote location.

Applications are at the heart of digital transformation.  The changing application landscape demands support for both traditional, monolithic workloads as well as distributed microservices architectures. In addition, the ability to enable a multicloud operating environment is quickly becoming a data center requirement. According to IDC’s July 2017 CloudView Survey, 85 percent of respondents are evaluating or using public cloud, while among current cloud users 87 percent have taken steps towards a hybrid cloud strategy and 94 percent plan to use multiple clouds.

Organizations are rapidly adopting hyperconverged infrastructure (HCI) to help simplify their environments.  HCI is one of the fastest growing segments in the data center space with a 5-year CAGR (2016-2021) of 30.2 percent (Source: IDC Worldwide Quarterly Converged Systems Forecast Tracker, 3CQ17).  Cisco HyperFlex is being adopted as the platform of choice for enterprise IT, accelerating this market transition with more than 2000 customers globally.

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Why Vanilla is the Best Flavour for ERP?

We always said, every business has its own taste and flavours, and may need specially assisted or customised ERP software solutions to fulfil them. But in general, plain vanilla can be called the flavour of every business. Already, the disaster stories of failed ERP implementations are quite popular and most of the times over expectations from the solution or extreme customization is to be blamed for project failures.

The term “vanilla ERP” was first introduced in the 90’s by top vendors like SAP and Oracle. ‘Plain vanilla’ simply refers to an out-of-the-box implementation style that has little or no modifications at all in the basic design of the ERP solution code. Vanilla ERP pushes back the concept of never ending customizations in the original solution and encourages the use core ERP functionalities. This blog throws some light on why vanilla is considered to be the best select for ERP deployment in your organization.

1. Refined Business Process – Plain Vanilla ERP implementation demands rigorous reworking of business processes, which results in filtering of unnecessary, redundant practices and in turn refining them into a simple and easy to execute form. This process also eliminates complex procedures and inadequate functionalities to ensure project success at the grass root level. Solid management backup is required for performing such re-engineering of business processes, but once the motive is clear, the new process adoption becomes quite easier for both management and employees.

2. Saves you from the Implementation Headache – Customization, though make the ERP solution a perfect glove fit for your business processes but also raise the level of complexity and risk of implementation failure significantly. Many a times, due to excess modification and customization, the basic custom code of the solution might no longer work as per your unique business operations, which may leave you ‘hanging into the middle’ situation. The best way is the straight road with simple and uninterrupted implementation process.

3. Easy on Pocket – Generally speaking, Vanilla ERPs are built on the Pareto’s principle or 80-20 rule, considering that 80% of the processes are same for most of the organizations. The uniqueness in business operations can be accounted for 20% or lesser. With 80% of features matching your business processes/requirements exactly, investing on customization for remaining 20% is always better than to invest in customizing a solution 100% from scratch. So, the plain Vanilla ERP solution saves a lot of finances as compared to their customized counterparts. This is because additional work on the basic design of the software incurs costs towards development, design, and implementation efforts. Cost is directly proportional to the extent of customization, the less the better for the organization in the long run.

4. Smooth Upgrades – Software upgrades are always designed keeping in mind the basic design of the solution. Hence, when an upgrade is loaded on the customized solution, the system fails to bring the entire process to execution, consequently, the complete supply chain may come to a standstill. Therefore, upgrades are always accompanied by patches and add-ons for a customized solution, but even then there are fat chances of upgrade failure. It may result into the exhaustive process of reversal that demands a lot of time, labour and additional expenditure. Plus, the interrupted production may result into serious delivery issues with your valuable customers.

So, cutting the long story short, a Plain Vanilla ERP implementation might not always allow full integration into the business process but certainly proves to be reliable in the long run for any organization. Though, the Vanilla flavour might not come with additional yummy hot fudge and fancy sprinklers in your Sunday special, but certainly it’s the best flavour to relish the smooth and stress-free taste for your valuable investment into an ERP project.

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