Why do businesses need ERP

Why do businesses need ERP

Why do businesses need ERP

Why do businesses need ERP

ERP can be an ideal integration system for all associations with a number of purposes (consider concerning paying for, preparation, fund, grade, inventory administration, sales and logistics, care, HR, strength administration, etc..)

Envision you’ve got inventory. After the inventory is absorbed by sales or production, acquiring department needs to replenish it. Finance should reevaluate your funding, preparation, generation, excellent and earnings should recognize whether the newest stock occurs, the warehouse must set the inventory also to ship it into the asking section predicated on the special arrangement, etc.

This really is but a crude instance of communication that is complex, which at its change causes corresponding tasks in sections that are applicable.

These kinds of advice flow call for the well-structured and thoroughly stable stage, letting accessing sending and inputs sparks both and by way of ports to different platforms.
This stage is also known as ERP.

Benefits of having an ERP System

  • ERP software program will deal with all surgeries that may decrease a large number of document men and workability.
  • ERP applications may handle whole endeavor series and simple to align crucial procedures and certainly will be compact effortlessly.
  • ERP methods allow management and organization to successfully accomplish actual small business process automation and managing major activities to get regular basis around a company.
  • A good ERP Systems produced no error results and produce more efficiency.
  • With an effective ERP, solution organization has better communication which results in high productivity.

Employing an ERP program in an organization affects how that people do the job. Best management needs to become helpful in describing the explanations for execution and also by what method the business enterprise as a whole will reap if it’s embraced favorably by the company team. These tips could be excellent justifications for executing an ERP process.


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Forget the CES hype, IoT is all about industry

Don’t let the excitement around CES distract you, the real future of IoT lies in business and industrial applications.

the CES hype

the CES hype

This week the gadget industry descends up on Las Vegas for the annual Consumer Electronics Show (CES). And as in the previous few years, 2018’s CES is chock-full of smart devices of every stripe. Some seem very cool, others unutterably silly, and a tiny percentage might be actually useful. A few will find market success, and many more will never actually hit the market at all.

In addition to all the new product previews, this year’s CES is full of summits, seminars, presentations and other sessions devoted to helping consumer products companies make, sell, deploy and monetize everything from smart cars and smart homes to smart cities.

But I’m here to tell you that none of that really matters much to the future of the Internet of Things (IoT). Nope, despite the CES hype, the IoT is really all about industrial and business devices, networks and applications.

Consumer IoT can be silly

Here’s the thing: The consumer side of IoT is consumed by the faddish and spectacular, not the everyday and useful. Just consider the kind of IoT products that have been featured at CES in previous years: There was the infamous smart toothbrush (expect more of those this year, too), not to mention smart hairbrushes and refrigerators. Not exactly must-haves for most people.

Reason of Odoo ERP Success

Reason of Odoo ERP Success

Reason of Odoo ERP Success

Reason of Odoo ERP Success

There’s just a single reason: The Product.
Being fully receptive source has a crucial purpose also. However, ultimately, potential buyers tend not to take care of the permit. They simply compare services and products and pick one which fits matches their demand: caliber, operational policy, TCO, …

In conditions of product or service, Odoo is moving far beyond conventional ERP. What is generally interfaced with third-party programs is totally indigenous together with Odoo: CMS, an e-commerce, point-of-sale, and also a Company Intelligence motor.

Adding your earnings floor together with stock, bookkeeping and production facility is 1 matter. However, Odoo goes one particular step farther. It is the sole real software on earth that incorporates all income stations: the purpose of purchase, e-commerce, inbound advertising. Odoo includes 4000+ programs apps for items always do not exist in conventional ERP, for example, inbound marketing and advertising programs.

Based on Creator Fabien Pinckaers the attention had been on to finest the competitions – notably SAP (whose stage had been founded on which Xerox and IBM devised throughout the 60 s). It’s definitely about benefit from this IMPROVER to choose is many widely used in a dose and strengthen it.
Using a massive selection of contemporary small business heads to reevaluate workflows and growth “needs to have” functions assist.

The Moment It Happens to Needs amassing prioritization Has an important part advertising may be recorded as follows:
“Should haves” – of route bookkeeping, promotion, earnings and inventory/delivery/warehouse is obviously likely to be desired and also, therefore, are “have to” haves.

“If haves” – point-of-sale – incredibly practical module which other ERP methods deficiency, in addition to e-commerce and weblogs and community forums all managed from inside the computer system.

“May have” and “won’t have” are weeded out whilst to introduce a system that is clean.

It’s all about nonstop demands collecting from your exact large userbase (high as the strategy will be possibly very useful and also the cheapest).

EIN Original

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Is ERP Smart Enough for the IoT ?

Is ERP Smart Enough for the IoT

Is ERP Smart Enough for the IoT

As the cost of computing continues to decrease, more smart and connecteddevices will be produced, fueling the rise of the Internet of Things (IoT). Several industries are already embracing the IoT with open arms, generating innovative platforms and products so that businesses and individuals can maximize the power of it. This era of interconnectivity has disrupted traditional business methods and changed the way we interact with technology—so what will happen to traditional technologies, such as ERP systems, that businesses haverun on for decades?

In the era of IoT, ERP systems will have to change—not just by layering with add-on applications, but by adapting the approach and concept of the overall system. “With the IoT, ERP systemsneed to become agile and intelligent, and process real-time data while minimizing the dependency on user interactions. For example,in the retail industry, livepoint of sale (POS) data streams and shelf device sensorscan mitigateforecast inaccuracies and automateinventory management, and predictive maintenance alerts could eliminate equipment breakdowns—ERP systemsof the near future will have to support that,” said Predrag Jakovljevic, Principal Analyst at Technology Evaluation Centers.


More Machine Talk, Less Human Interaction

Once upon a time,personnel were in charge of managing inventory and monitoring performance of machines. A centralized system called an ERPfacilitated this process for them and provided forecasting and other analytical reports to optimize the processes. In the era of IoT, machines and productshave sensors or tracking devices and are Wi-Fi enabled so a repair alert can be transmitted directly to the service crewandparts or stock can be orderedwhen running low—with no or little human interaction.

To ensure they are a part of the digital transformation that IoT is bringing, some ERP software providers have launched their own IoT platforms and services, but continue to leverage their existing enterprise applications to serve as the central communication interfaceamong people, between people and devices, and device-to-device. For instance, ERP market leader SAP launched its digital innovation system Leonardo, aimed at enabling the intelligent enterprise—made possible by combining the power of its IoT technologies with the analytical, organizational, and structuring capabilities of its enterprise applications.

Faster and More Furious

IoT-enabled products and devicesare builtwith embedded sensors to track data—from system performance to a user’sinteractionswith the product or device—in real-time. This adds up to a huge amount of data even after a short period of time, which would be difficult for a traditional ERP system to handle.

The power of a traditional ERP needs a major boost to be able to mine and process large amounts of real-time data and to convert it into something useful for businesses. Moreover, ERP systemsneed to acquire IoT-like capabilities or, at a minimum, be able to integrate with IoT platforms already on the market to ensure a business’ system infrastructure is fully equipped to compete in the digital economy. For instance, PTC, a pioneer in the IoT era in the PLM software sector,has acquired and integrated applications to provide a complete set of solutions for managing smart, connected devices and the large amounts of data they produce.

Powered by Artificial Intelligence (AI)

“The IoT and the Industrial Internet of Things (IIoT) will bring never before seen levels of intelligence and insights for businesses—from the operation of products and assets, to the current global position of a manufacturer’s supply chain, to the status of employee activities, all in real-time. These insights will enable ERP systems to provide more value than ever before,” said Ted Rohm, Senior ERP Analyst at Technology Evaluation Centers.

The expectation is that not only will an ERP system be able to process the large amounts of data produced by IoT-enabled devices, but to analyze it into meaningful reports and actionable insights for businesses—what was once a company’s central system of record will become its central system of intelligence.

ERP software providers will have to think about the various angles, trends, and perspectives that a business can take with the data to improve processes and increase profitability, and develop their solutions around that. Cloud customer relationship management (CRM) market leader Salesforce developed itsAI-technology portfolio Einstein so that key business processes such as CRM could be significantly improved by leveraging the predictive capabilities of AI based on a company’s unique data and processes.

The IoT has disrupted the traditional way of doing business—for businesses to adaptto this new worldand stay competitive, they need supporting software and technology solutions. Where an ERP systemonce helped automate manual processes, served as the central source of information, and organized unstructured data, now it will have to be a smarter, faster, and more agile system that can foster a company’s digital transformation.

About Technology Evaluation Centers (TEC)

Technology Evaluation Centers (TEC) is a global consulting and advisory firm, helping organizations select the best enterprise software solution for their needs.

Article Credit: Technology Evaluation Centers

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Evolving with Caution: Online Safety Tips

Easy access to technology and rapid advancement has made internet today more of a necessity than a luxury that it was a few years ago. Government and large MNCs have already dedicated large resources and capital in order to balance the risk that comes with this rapid advancement in technology. But there seems to be no way that is sufficiently protective in the digital environment and at the same time is empowering for users to continuously evolve in the process. The question here is are we ready to deal with this tech revolution? Is our generation well equipped with the skills that are needed to ensure online safety? From kids and young teens to adults, the degree of risk differs certainly, but some common practices in online behaviour can be helpful in avoiding any possible cyber crimes. Web users unknowingly become the victim of security attacks and can be later exploited through personal data or other malicious activities.

As the old saying goes, precaution is better than cure. Below are some of the most basic tips that can help web users in ensuring their safety and hence avoid any kind of cyber crimes.

● Stay Alert and Active: It is very important to know about the websites that you are using, the content you are consuming and be aware of the activities that you do online. Be active to notice any kind of errors, unknown links and any kind of unsafe activity while you are online.
● Secured Networks: Ensure your WiFi is highly secured with strong password settings along with enabled wireless encryption. Do not share the password with people you do not trust.
● Online Privacy Policies: Before joining any new network, make sure that you read privacy policies and understand the creator’s intent. Do not share too much of personal information and be active to know about everything that you are sharing. In addition to this, understand the measures taken by networks to prevent internet security dangers.
● Password Settings: It is advised that you use strict password settings and use a complicated password that is not too easy to guess. Also, make sure that you change your password at regular intervals.
● Public Networks: Avoid using open or free Wifi at public places like cafes, hospitals and airports etc.
● Look for https:// in the URLs of the website: “S” in “https” stands for “secure” and should appear in every bank or online shop address. Always use a safe and secured network for online transactions.
● Information used for Phishing: Bank account numbers, Username, Passwords, PINs and card numbers are some of the most important details that the cyber attackers look for. Be cautious while using this information online especially while shopping and using websites for the first time.
● Updated Programs: Keep all the programs and softwares updated on your phone. Old and pirated softwares are often an invitation for cyber attacks.
● Backup and Antivirus: Have a trusted antivirus or internet safety software installed on your computers. Also, ensure that you have a backup of important folders and files.

While the internet offers a lot of opportunities to explore and collaborate, it also exposes us to dangers of cyber attacks. To make the most of the technology, it is important to take careful measures and ensure a safe experience. Whether you are a new user or user since a long time, some simple steps mentioned above can help you have secured experience while navigating online.

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Trends in IoT to look out for in 2018

Trends in IoT

Trends in IoT

Many technology trends of 2017 would begin to take greater shape in 2018, which also includes Internet of Things (IoT). With IoT products gaining momentum in the market, including home thermostats, door locks controlled from smartphones, smart meters, etc. Industries are investing in implementing IoT solutions which will impact their bottom line. The IoT marketplaces are like gateways that offer companies the option to connect and interact with a wide range of vendors, without having to create or change existing platforms.

Today, most major enterprises have already integrated IoT into their core systems and initiatives to drive digital businesses. We will continue to see connectivity become part of the enterprise IT fabric – in fact, within five years; IoT will be core to millions of business processes. In the future, companies may even take for granted that devices and appliances like vehicles and HVAC systems can be controlled and monitored remotely, mostly thanks to IoT connectivity.

As we rely on connected devices to make our lives better and easier in 2018, security would play a major role.IoT security requires a multi-layered approach where all participants in the IoT ecosystem are responsible for the security of the devices, data and solutions. This means that device manufacturers, application developers, consumers, operators, integrators and enterprise businesses should all follow best practices. We will see investments going into the IoT security sector in 2018.

The amount of data produced by the usage of IoT will force data to the edge; it will also force mobile providers to move faster than ever — toward 5G. The level of hyper-connectivity expected by users today leaves little room not to move forward on the 5G path, but one should not get too excited and the move to 5G won’t happen overnight, and it will likely erratic throughout the coming year.

Another sector that will change rapidly in 2018 is automotive, especially fleet management. The connected automotive sector is a growing sector in India and expected to grow exponentially in the coming years. Usage of IoT within truck, car rental and other companies would see exponential usage of IoT in 2018. The usage of Cellular technologies would increase at a tremendous pace in 2018. This in-turn would have a knock down effect on the consumer care segment as well where security based IoT technologies would play a key role.

In 2018 companies would spend a substantial amount on IoT technologies. This would mostly be led by the government sector followed by the private sector in most of the countries. Business Insider research predicts business spending on IoT solutions will hit $6 trillion by 2021. This would see venture capitalists pouring money into the IoT sector where the majority of the funding would go to start ups which are using or developing IoT technologies.

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Article Credit: ET Telecom

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How AI and copyright would work

How AI and copyright would work

How AI and copyright would work

Self-aware robots, androids or call-them-what-you-will have been part of science fiction almost from its beginnings. Recently in science reality, there’s been early, speculative discussion about “creative” works generated by these types of machines, and how copyright would apply.

It’s easy — and tempting! — to get wrapped around the axle when it comes to the prospects for artificial intelligence (AI) programs and their creation of original works. When works created by self-running software applications become more common, the result is both more possibilities and more challenges to existing copyright law. But let’s take a step back and consider what we know already, and then move on to what may soon be coming.

Applying today’s law

Think about programs like Google’s DeepMind, or the natural language generation program Wordsmith. These apparently copyright-susceptible expressions result from the operation of application code and algorithms. Because the programs themselves involve no specific human interference or guidance, the results might be best construed as the intellectual property of those who “worked the machine,” i.e. the users.

“Robots” themselves have no actual agency, let alone self-awareness. If there is any human interference or guidance, like a person setting parameters for how a program operates, then that person may be entitled to a copyright if the person’s contribution rises to the level of copyright protection.

When it comes to the rights of an AI itself, I think the key issue would be intent.

Logically speaking, you can’t have original expression without intent, and you can’t have intent without self-awareness. Despite popular articles warning about the coming of AI, a working program with awareness of its own existence and operations is still a long way off — at least according the more skeptical cadre of those studying AI.

Even if an output has the form and feel of a copyrightable work — for example a script written by a program called “Benjamin” and filmed as Sunspring — it may still fail to qualify if we require for expression. In other words, under our copyright rules as they currently exist, to qualify as protectable by copyright, a work — an original creation — needs to meet the definition spelled out in Section 102(a) of the Copyright Act (U.S. Code Title 17):

“Copyright protection subsists, in accordance with this title, in original works of authorship fixed in any tangible medium of expression, now known or later developed, from which they can be perceived, reproduced, or otherwise communicated, either directly or with the aid of a machine or device.”

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Article Credit: TechCrunch

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Google and Others Are Building AI Systems That Doubt Themselves

Google and Others Are Building AI Systems

Google and Others Are Building AI Systems

The most powerful approach in AI, deep learning, is gaining a new capability: a sense of uncertainty.

Researchers at Uber and Google are working on modifications to the two most popular deep-learning frameworks that will enable them to handle probability. This will provide a way for the smartest AI programs to measure their confidence in a prediction or a decision—essentially, to know when they should doubt themselves.

Deep learning, which involves feeding example data to a large and powerful neural network, has been an enormous success over the past few years, enabling machines to recognize objects in images or transcribe speech almost perfectly. But it requires lots of training data and computing power, and it can be surprisingly brittle.

Somewhat counterintuitively, this self-doubt offers one fix. The new approach could be useful in critical scenarios involving self-driving cars and other autonomous machines.

“You would like a system that gives you a measure of how certain it is,” says Dustin Tran, who is working on this problem at Google. “If a self-driving car doesn’t know its level of uncertainty, it can make a fatal error, and that can be catastrophic.”

The work reflects the realization that uncertainty is a key aspect of human reasoning and intelligence. Adding it to AI programs could make them smarter and less prone to blunders, says Zoubin Ghahramani, a prominent AI researcher who is a professor at the University of Cambridge and chief scientist at Uber.

This may prove vitally important as AI systems are used in ever more critical scenarios. “We want to have a rock-solid framework for deep learning, but make it easier for people to represent uncertainty,” Ghahramani told me recently over coffee one morning during a major AI conference in Long Beach, California.

During the same AI conference, a group of researchers gathered at a nearby bar one afternoon to discuss Pyro, a new programming language released by Uber that merges deep learning with probabilistic programming.

The meetup in Long Beach was organized by Noah Goodman, a professor at Stanford who is also affiliated with Uber’s AI Lab. With curly, unkempt hair and an unbuttoned shirt, he could easily be mistaken for a yoga teacher rather than an AI expert. Among those at the gathering was Tran, who has also contributed to the development of Pyro.

Goodman explains that giving deep learning the ability to handle probability can make it smarter in several ways. It could, for instance, help a program recognize things, with a reasonable degree of certainty, from just a few examples rather than many thousands. Offering a measure of certainty rather than a yes-or-no answer should also help with engineering complex systems.

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Article Credit: MIT Technology Review

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Why Decisions About AI Should Not Be Tainted By Fear

AI Should Not Be Tainted By Fear

AI Should Not Be Tainted By Fear

Throughout history, the introduction of innovative technologies has always been accompanied by scepticism and scaremongering; Artificial Intelligence (AI) is no exception. Among the many voices speaking out against AI and branding it ‘a fundamental risk to human civilisation’ are highly respected ones such as Elon Musk, Tesla founder and renowned technologist, and Stephen Hawking, one of the world’s leading scientists. Other voices are rapidly painting a picture of a sci-fi horror film: machines taking our jobs; driverless cars losing control and veering off the road; and AI-powered robots leading a revolution.

Last year, AI unquestionably became the hot topic in technology. Industries across the globe have been considering how they can use AI to improve efficiency and productivity, from city planning to algorithmic trading. Despite these positive efforts, conversations around AI have nevertheless been dominated by negativity.

Consequently, the benefits which AI could bring to our lives have not been fully appreciated. Implemented proactively and responsibly, AI could very feasibly revolutionise our everyday lives for the better.

This year, we should build on the momentum and public attention to focus the debate on AI’s immense potential to contribute to the world economy, and consider what needs to be done for it to unfold over the coming years. According to a PwC report, by 2030 AI will contribute an estimated $15.7 trillion to the world economy.

As the co-founder of a healthtech startup, I believe that AI can benefit our society and improve healthcare for everyone, by providing information and support to patients and doctors alike.The reality is much more achievable and positive than the far-flung notion of robotic doctors. By combining a wealth of medical knowledge with machine learning, it is possible to empower informed decision-making and improve access to high quality healthcare.

For instance, AI can improve healthcare by helping professionals to provide a more personalised service. Whilst humans remain in control of the all-important decision-making process, machines will be tasked with sifting through vast amounts of data to quickly identify symptom patterns and enable early medical intervention. Within healthcare systems, including the NHS, the relentless pressure on GPs and increased waiting times can be relieved by AI, which can take care of time-consuming, repetitive tasks, thereby freeing up doctors to focus on patient care and prevention. In less developed areas of the world, AI can also help address the healthcare shortage, giving individuals in poor, rural areas the same quality care as someone in resource-rich cities and countries.

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Article Credit: HuffPost

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Here’s how AI computer vision is transforming photography

AI computer vision is transforming photography

AI computer vision is transforming photography

We’ve now come to expect that every year when all of the major phone companies announce their latest models, that the camera will receive an upgrade. Each year, we can be sure that the mobile industry’s hardware engineers have gone that little bit further in order to one-up the competition. Maybe an extra megapixel or two, maybe a better sensor, or a faster shutter.

But it is only within the last couple of years or so that this hardware arms race has been upset. The battle to create the best camera is no longer a question of hardware (though it doesn’t hurt). The real battle, thanks to the rise of artificial intelligence, is in software.

Today, the most exciting innovations in photography are not thanks to engineers tinkering with metal and glass – they are thanks to algorithms that are making our shots better than ever, and helping us stay organised in the process.

Portrait mode battle

Perhaps the most striking consumer example of this is shooting portraits on our phones. For the last couple of years, some phones use dual rear cameras to sense the depth of the subject in the image, and then apply some sophisticated deep learning to automagically chop out the subject of the photos, and blur the background.

Even for ham-fisted amateur photographers, it can create some truly stunning results that are just begging to be posted on Instagram.

In the future though, AI could take the place of the second camera and enable similar “portrait” style shots with a nice blurry background (or “bokeh” to use the technical term) – but only using the one camera.

How would it work? By using machine learning to do the hard work and pick the objects out of the image. The same algorithms could be applied to the front-facing camera too, making our selfies even better.

Zoom and enhance

The advances with portrait mode though are just scratching the surface of how AI is transforming photography, and there are plenty of examples of how deep learning algorithms are improving our pictures, and doing things that might have once seemed impossible.

For example, if you want to shoot with a professional DSLR but are intimidated by all of the different settings and buttons, AI can come to the rescue.

Arsenal is a tiny device that plugs into your fancy camera – it enables you to not just connect your phone for taking wireless shots, but it can automatically choose the best settings for your shot, having trained its neural network on thousands of existing professional photos.

Photography is being transformed more broadly too: it turns out that Google Street View is probably a better photographer than you’ll ever be.

You might not have thought that photos taken automatically by a car could ever be particularly pretty, but the company trained a neural network on thousands of professional photos and the AI was able to divine the qualities of a decent photo, in terms of lighting, composition and filters and so on.

Then it simply fed in some shots its cars took in California, and the algorithms got to work manipulating the images to make them beautiful. And the results are stunning.

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Article Credit: TechRadar

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