Artificial Intelligence in Salesforce

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According to John McCarthy, who is the father of Artificial Intelligence, an AI is “The science and designing of making intelligent machines, especially intelligent PC programs”.

Artificial intelligence is a way of making a computer robot or a software think intelligently same as an intelligent human thinks. Artificial Intelligence (AI) is the concept of having machines “think like humans”.

AI has a huge effect on your life. Whether you are aware or not, it has already influenced your life style and it is very much likely to grow in coming years.

Here are some examples of AI that you are already using in your daily life:

• Your personal assistant Siri – It is an intelligent digital personal assistant on various platform (Windows, Android, and iOS). It provides you an assistance whenever you ask for it using your voice.

• Smart cars – Google’s self-driving car, and Tesla’s “auto-pilot” feature are two examples of Artificial Intelligence.

• Recommended products or Purchase prediction – Large retailers like Amazon, recommend you the products, send coupons to you, offer discounts, target advertisements on the basis of the shopping you earlier had by a predictive analytics algorithm.

• Music and movie recommendation services – Pandora, and Netflix recommend music and movies based on the interest you’ve expressed and judgements you have made in the past.

Other simple examples of AI influencing our daily life are:

– Facebook provides recommended photo tags, using face recognition.

– Amazon provides recommended products, using machine learning algorithms.

– Waze (a GPS and maps app) optimal routes, all at the click of a button.

– Spotify knows my music preferences and curates personalized playlists for me.

As per Marc Benioff, AI is going to impact corporate world, employees will be faster, smarter and more productive. It will learn from the data. Ultimately, it will understand what customers want before even they know and it could be a game-changer in the CRM industry.

Salesforce already bought productivity, and machine learning startups RelatedIQ, Metamind, and Tempo AI in 2014.

AI (Artificial Intelligence) in salesforce is not about time-travelling robots trying to kill us, or evil machines using humans as batteries in giant factories. Here we are not talking about some summer blockbusters, we are talking about the salesforce AI which will make your daily experience smarter, by embedding daily predictive intelligence into your apps.

So, what is AI?

AI is not killer robots; it is killer technology.

Artificial Intelligence (AI) is the concept of having machines “think like humans” – in other words, perform tasks like reasoning, planning, learning, and understanding language.

Customer focused AI: Salesforce Einstein

Salesforce is focusing on creating a platform for solving the customer problems across Sales, Service, Marketing and IT in a completely new way by using Salesforce Einstein.

Salesforce Einstein is built into the core of the Salesforce Platform. It enables anyone to use clicks or code to build AI-powered apps.

With Salesforce Einstein, we can have answer of these type of questions:

– Are you sure that you are servicing your customers by the right client?

– Are you sure that your customers are getting services on the right channel?

– Is it correct to say that you are offering the right item to the right customer at the right time?

– Is it correct to say that you are using the right channel for marketing your products at perfect time with best substance?

Salesforce Einstein is your data scientist

Einstein is like having your own data scientist dedicated to bringing AI to every customer relationship. It learns from all your data – CRM data, email, calendar, social, ERP, and IoT – and delivers predictions and recommendations in context of what you’re trying to do.

AI has the ability to transform CRM using Salesforce Einstein

– Sales people can spend more time in visiting customers, not in entering data in CRM.

– Sales people can now better understand the customer requirement and when they need it.

– Sales people can close deals faster by predicting the next step for every customer.

– A service agent could suggest a solution to the customer even before he asked for it.

– Service agent can offer cross-sell at the right time to the right customer.

– Marketing user can easily reach to the right customer at the right time.

– Marketing user know who could be the best audience for each campaign.

– He can easily identify the customer requirement so he delivers the perfect content to every customer.

Salesforce Einstein enables everyone to discover new ways, predict outcomes so help in decision making, recommend next steps, and automates most of your activities so that you can spend most of your time in building strong relationship with customers rather than making entries in system.

What will AI give me that I didn’t already have?

Predictive scoring -Predictive lead scoring gives each sales lead a score representing the likelihood it will convert into an opportunity. You also get the reasons

behind the score – for instance the lead source, the industry, or some other factor is an especially strong indicator that a lead will or won’t convert.

Forecasting -AI can also be used to predict the future value of something, like a stock portfolio or a real estate investment. If you’re a sales manager, AI can predict your quarterly bookings and let you know ahead of time whether or not your team is on track to meet its quota.

Recommendations – Anyone who shops online knows that AI makes suggestions for retail purchases, but it can also make smart recommendations for any other product or service category from business software to tax consulting to cargo containers. And AI can also recommend things other than products – for instance, which white paper you should email a prospect in order to optimize your chance to close a deal.

Who can use AI in the enterprise

Anyone in organization can easily use AI to analyze their data, predict and plan next steps, and automate their tasks and decisions. With Einstein’s comprehensive AI for CRM:

• Sales can anticipate next opportunities and exceed customer expectations by knowing what a customer needs before the customer does

• Service can deliver proactive service by anticipating cases and resolving issues before they become problems

• Marketing can create predictive journeys and personalize customer experiences like never before

• IT can embed intelligence everywhere and create smarter apps for employees and customers

What is Machine Learning

Machine learning is the core driver of AI. It’s the concept of having computers learn from data with minimal programming.

Source by Allie Laine

Learning The Passap e6000 For Beginners

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The Passap knitting machine is one of the most sought after knitting machines in the world because of its ability to create knit techniques. The word is 40,000 different types of knit fabrics can be created on the Passap knitting machine. That should be enough to keep anyone busy for a moment or two.

Having that much choice is wonderful, however the how to get from here to there is fairly extensive. Many people purchase their Passap knitting machine and before even looking through the manuals start pushing buttons and playing.

The tuition for learning the Passap e6000 for beginners can be very high because the damage that can be done by this type of approach is costly to repair if it can be repaired at all.

On the other hand the simple steps for the Passap are really easy to do if you just have the sequence right from the beginning. Resisting the urge to just start playing and button pushing is what is hard to do. In many areas of our lives that is the approach that we have often taken. Why read the directions? Many times they were written in a language that we did not understand and our impatience to just get going prevented us from slowing down long enough to figure the directions out. This is a very wrong move for a Passap knitting machine.

Yesterday, I wanted to cook something in my new microwave and the directions were to do part of the process at full power and the rest of the process at the middle power setting. It was so easy to find the instruction book and look up how to get to the middle power setting, do the steps and get the project underway. (I was hungry)

I wondered afterwords if I had just started pushing buttons if I would have ever gotten to the cooking part of the process. Some things are more intuitive that others. In the case of the microwave and the Passap the steps are not what you might think to do and hence you can spend a great deal of time pushing buttons with no positive outcome. My dinner would have taken way longer to get ready and I would have been really hungry if I had not opened the manual and looked up and then input the correct steps in order. Not what I thought they should be but what the computer on the microwave had to have in order to work.

Then lets mention button hitting. That is when you are in the console trying to do the programming and keep hitting buttons to try to get back to a screen on the console that looks familiar and stop the electronic buzzing the console does when you have made an error. That is one irritating sound.

Instead of turning the console off and back on, there is a better solution to stopping that sound and one that is highly recommended instead of the reflex action to turn the console off. You even have 3 choices of things you can do instead.

Any one of these three choices is much better for you and for the knitting machine-it is just catching ourselves quickly enough to make a different choice. Depending on how long you have been knitting on your Passap, you may have some serious re-training to do to overcome this issue.

It is important for you to begin to work towards this though as the Passap machines are no longer being made and if you keep your unhealthy reactions up, you may damage your machine beyond repair. I don’t know about you, but I just could not handle not having my Passap machines to work on when I want to knit.

Make a decision to learn your Passap knitting machine, how it works and the steps to take when the computer dialogue is taking you to an error screen and the electronic buzzing so when you get there in the future you can correct the data input you missed which caused this to happen. It is just the click of a button in the wrong sequence that creates the error and a click of a button to correct it.

Learn the right buttons to hit when you encounter this situation and don’t just start pushing or hitting buttons randomly to try to get the buzz to stop. It is really easy if you just know the steps and which order to put them into when you are talking about the programming part of the knitting project.

Make sure that the tuition you are paying for learning your Passap knitting machine is taking you to the right steps and not in the wrong direction.

Source by Marjorie J McDonald

How to Do a Correct Form Sit-Up

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How to do the most effective sit-up without a ball or machine

Learning how to perform the perfect sit-up is not difficult, and you don’t need anything to get it right except your body and the floor. Don’t believe any of the hype or gimmicks you see on TV or the Internet. The best way to do a sit-up is the good old fashioned way: lying flat on the floor with your knees bent and arms crossed in front of you.

Although crunch machines and exercise balls are popular, research has shown that a basic sit-up is most effective for a flat stomach when it is done properly without help from other equipment.

Steps to Doing the Perfect Sit-Up

1 – Lie flat on your back with your knees bent.

2 – Feet should be flat on the floor and kept near your buttocks, so that your legs are at a 90-degree angle.

3 – Cross your arms in front of your body, making an X by placing each hand on the opposite shoulder.

4 – Relax your body and consciously tighten up your abdominal muscles. To do this, you have to suck your belly button backward, toward your spine and push your lower back until it is flat against the floor.

5 – As you begin the sit-up, start by gently elevating your head and shoulders, then raising the top of your back and finally lifting your lower back until you are sitting straight up. Exhale your breath during this part of the sit-up.

– Keep your torso as straight as possible – at a 45-degree angle with your legs. Hold this position for a moment or two before you begin your descent.

7 – As you descend, slowly return yourself back to the floor, starting with your lower back, then your upper back, and finally your shoulders and head. Inhale your breath as you lower yourself into your starting position.

8 – Complete your inhale and relax your body for a moment before repeating the exercise for the planned number of repetitions.

Things to remember while performing the perfect sit-up

Stay focused on your abdominal muscles throughout the entire exercise, and use these muscles to perform the work. Don’t forget to breathe! Breathe out on the way up, and breathe in on the way down.

Begin slowly and add on to your repetitions gradually as your strength increases. Always warm up before and stretch when you have finished exercising.

Things to avoid while performing the perfect sit-up

If you feel any pain at all, especially in your neck or back, stop doing the exercise immediately and take a break. When in the top position of your sit-up, don’t lean forward toward your knees. Keep your back as straight as possible and your abs nice and tight as you hold this posture for a couple of seconds.

Don’t overdo it. You use your abs in many everyday activities, so if you strain this muscle group, it can negatively affect the most common of tasks.

Source by Jessica Oxford

9 Common Factors Driving the Freelance Economy

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What will drive the Freelance Economy?

I will go out on a limb and state this: Flexible and Freelance work will gain acceptance and accelerate in volume for many years to come. The work landscape will be vastly different a generation (just over two decades) from now; Flexible and Freelance work will be a significant and perhaps dominant aspect of it from today’s viewpoint. This is not new – it is likely you have heard about the brave new world of Freelance work already and Uber being used (wrongly) as the example for all things Freelance. While there is hype, there is enough good reason to believe that we are already on our way to a future as predicted above. In this article we will look at the various factors, whose interplay will favor a Flexible/ Freelance work economy. In the subsequent articles we will look at

  • Freelancing in technology work (forget Uber example), and
  • Freelance economy 2.0

What is leading us to the land of Flexible and Freelance work? We need to understand the direct and indirect causal factors in order to be prepared. Here are some key factors in play.

Automation Overheads:

Automation is leading to human work replacement in substantial numbers in manufacturing, distribution, and energy industries, through job redundancies or efficiency improvements. This will accelerate and result in the average number of work hours per person declining inexorably over the years to come. Add in Machine Learning and Artificial Intelligence, the services and healthcare industries will see humongous job losses. Most jobs will see the hours approach part-time territory by current standards (this would seem a safe and conservative prediction when you consider more futuristic predictions of very high but prosperous unemployment – Note 1).

Reducing overheads cost through Outsourcing:

Most businesses prefer variable costs to fixed costs. Most new businesses are designed with low FC model. Payrolls are a significant portion of fixed costs for many companies and as they opportunities to convert full time workers to part-time or independents without affecting company performance, they will use it. This, combined with the well proven approach of focusing on core competencies and leaving the rest to outside entities, creates strong incentives to continue reducing full time employment commitments. The outsourcing entities are incented to increase efficiencies

Variety & Specialization:

Ease of information access, relative abundance, and pace of innovation continue to grow together, creating newer specializations all the time, across industries and knowledge spaces. Many of these specializations do not justify full-time employment in most organizations benefiting from these innovations. This means that the market for specialized freelance services will continue to grow as professionals continue mastering new knowledge areas and offer their services to those who need the same, without the constraints of employment contracts.

Cloud Mentality:

Young companies are born and continue to grow while remaining very lean; established old corporate entities are embracing the cloud mentality too preferring to rely on resources, both material and human, outside their organizations, for services that are even core to their existence. The cloud mentality signifies the willingness of organizations to collaborate with outside workers, developing models of engagement with low overheads and high innovation.


Developing and under-developed nations with limited labor regulations that constrain businesses (and protect labor) will be quicker in adoption and spread of flexible, freelance work structures – as alternate forms of industry self-regulation and support structures (like cooperative wage insurance, medical benefits, etc.) take hold. Contrary to what would be expected, developed nations, like ours, will be slower to adapt due to entrenched structures/ ideologies (like employer linked benefits, protectionist tendencies) and ageing population.

On Demand Information:

As it becomes easier to identify and reach what we need when we need, employers will take the best of breed approach, recruiting resources to address specific needs on an ad-hoc or planned intermittent basis. Workers/ professionals too will find it easier to reach entities that need their help and will get conditioned to holding multiple part-time engagements at the same time.

Service Intermediation:

Conveying and ensuring trust and quality for their clients are the key purposes of most organizations. Services industries have built fortunes on the basis of ensuring trust and quality (through proven business practices and capabilities) bringing together resources and clients in delivery of various services. The intermediation that assures quality and trust will gradually shift to lower overhead platforms with lesser contractual constraints, thanks to technology and collaboration. Novel forms of organizations – Note 2 will take over making part-time and freelance work easy to contract and easier to provide.


As college education continues to get costlier by the year, the demand for shorter duration programs will increase, with focus on skills that are in demand then. There will be demand for continual short-burst education/ training with newer skills getting added. Most knowledge workers will benefit from such programs by developing specialist skills in select areas.


There will be massive retraining needs as blue collar workers losing out to automation have to be trained in service areas; the ability of the government and society to engineer and manage such a retraining effort will both avert serious pain and pave way to newer industries and businesses that are built on part-time and freelance service labor.


Note 1:

There are extreme predictions of most of the working-age humans being without regular employment because of automation; this also means that automation causes such abundance those humans get almost everything they need without working for it (in some form of essential social subsidy).

Note 2:

Will cover the novel forms of organizations in article #3 – Freelance economy 2.0.

Source by Herald Ignatius Manjooran

Learning The Amazing Passap Knitting Machine

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The first genuine handknitting machine made its debut in 1939 on the occasion of the Swiss National Exhibition. It had been constructed by Ernst Luchsinger, helped by an emigrant from Hungary.Although the use of this knitting machine involved a fair amount of hand work, results were 5 to 8 times faster than by pure handknitting.

Right from the beginning, E. Luchsinger sold his hand knitting machines under the brand name of PASSAP which is an abbreviation of PAtent Schnell Strick AParat, meaning something (like “patented quick knitting apparatus”).

The development of the ELECTRONIC 6000 was the greatest and most costly challenge of the 60 years of PASSAP history. Its development posed not only a formidable challenge to MADAG’s engineers, it also was a giant leap into new technologies. Finally all obstacles were overcome and the result was the state-of-the-art electronic knitting machine in its time.

The Passap E 6000 knits precisely what you tell it to, perfectly with the unique dialog computer which communicates with you. What is important is that you learn to speak Passap so you can communicate with the console. Since it is very precise, there is a learning curve to get comfortable with the programming of the console so you get the exact result you want.

The electronics on the knitting console asks you a series of simple questions. They are not in the usual sequence that we are used to and do not answer why or how so patience on your part is needed.

When you understand the step by step format of the console and the questions it asks, it will get easier to learn the programming so you avoid the error messages and accomplish the pattern and technique input into the computer.

The computer shows the choices and you decide if you want to accept them.

There is no point in wishing that the manual was written more clearly. We have to work with what we have and get used to the flow the way the console is set up and the sequence of the questions that are asked. Once you have achieved the knowledge of the sequence, your knitting on the Passap will be much easier.

The learning curve is a bit steep, but certainly doable so I want to encourage you to stay with it until you get to the breakthrough moments and gain the confidence to know you can tackle this marvelous machine.

Source by Marjorie J McDonald

Why The Latest Mobile App Trends Require You To Upgrade Your Web Development Skills

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Feeling hungry? Turn on your mobile app. Want to book hotels? It’s on your mobile. Looking for a home? You have mobile apps for that too. Basically, we are surrounded with smart apps and there are dozens for every civic need.

With the New Year, mobile and web technology went through new resolutions, strategies, goals, and objectives. Hence, there is no denying that they change in rapid fashion. On one hand, we have various mobile apps like video streaming, messenger, music players, daily schedulers, mailing organizer, and online games. On the other hand, the expansion of online consumer awareness has resulted in fussy and unpredictable choices. This, demands you to learn quickly and adopt the latest trends in mobile app development in 2017. Here are some of the trends you should be aware of:

1. Apps for drones taking the market by storm

Drones are new kid on the block, but they have hit the latest business trends already. Amazon Prime Air is on its toe for launching world’s first drone delivery service and we are eagerly waiting to see how the technology works. Alphabet, Google’s parent company, is also holding on to the excitement as their new drone delivery program – Wing Marketplace is on its way to deliver food via drones. Drones are also used in agriculture, national security and healthcare. Therefore, web design and development courses are teaching students to create apps that will control the drones. Such apps should have the features to control, analyze and manage activities by drones. The drone industry is growing speedily, so we suggest diving into it as soon as possible.

2. It is the year for small and local businesses

Mobile app analysts predict presence of local retailers and small business in the internet greater than before. They are leveraging on apps to boost sales and improve brand image in a short period of time. Therefore, a huge number of app developers are in demand who would develop simple yet efficient web apps for these local retailers. If for all these years you were in a dilemma of whether to take web design and development courses or not, this is the correct time to go for it. Industry experts are focusing on structuring curriculum that covers latest trends and subjects.

3. Apps for Wearable devices

Be it fitness tracker band, smart watch, jewellery or digital pen, the market for wearable devices will even grow in popularity in 2017. This indicates that there will be an increasing demand for mobile applications integrated with these smart gadgets. Wearable technology provides ample of opportunities, mostly for sports and healthcare industries. Machine learning will also come into action with these apps. To know what machine learning is, take web design and development courses that covers latest up gradation in technology.

4. More demand for secure apps

We often hesitate to download apps that ask for access to images, contacts and more from our phone. We hesitate because we are concerned about the safety and security issue. Thus, app developers have to gain the trust of people by ensuring data security for businesses and individual users. Along with remarkable increase of the amount of online purchases and use of mobile based apps, instances of hacking and misuse of confidential is occurring more frequently these days. This alarming statistic calls for a high demand for more secure technologies, complex data encryption and authentication algorithms.

Trends are changing, so are the techniques. Live on the edge of newest trend by upgrading your skills with web design and development courses, otherwise you won’t be able to outsmart your competitors. The future of mobile apps is very bright and challenging with innovative and ground-breaking possibilities. If something remains constant, that is Quality. To sustain in the hectic world of app development, adopting the newest techniques is the key mantra.

Source by Sam Smith

The Role of Artificial Intelligence in Industrial Automation

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To most people, Artificial Intelligence (AI) probably means sci-fi movies with robots and computers performing inconceivable human tasks. While this is partly true, what AI truly brings to the table is enabling machines to carry out intelligent tasks. As the challenges faced by global decision makers skyrocket, there is an urgent need to propel businesses and societies forward using the most modern technology. With the world changing at an unprecedented speed, businesses need to revamp and structure how machines and humans work. And AI is helping meet those goals. According to Forrester, Cognitive technologies such as robots, artificial intelligence (AI), machine learning, and automation will replace 7% of US jobs by 2025.

The Changing Dynamics
The manufacturing sector is characterized by an environment full of uncertainties and evolving dynamics. With ever growing market volatility, manufacturers need to constantly innovate, adapt and respond to changes in the quickest time, without hampering the quality of products, and at the least possible cost. The efficiency of a manufacturing system closely depends on how well shop floor processes respond to changes. Critical shop floor functions such as production scheduling and maintenance have to be extremely responsiveness, and their integration is what will result in an optimal and robust decision making environment.

AI in Manufacturing
AI finds application in a host of industries including gaming, banking, retail, commercial, and government, and is slowly becoming pervasive in the manufacturing sector, facilitating the automation of industries. AI-driven machines are paving an easier path to the future by providing a host of benefits – offering new opportunities, improving production efficiencies, and bringing machine interaction closer to human interaction. The Fourth Industrial Revolution is being driven by the automation of knowledge-based work; by creating new ways to automate tasks, we can restructure the way humans and machines live and interact, to create a better, stronger digital economy.

AI helps overcome many inherent challenges that have been plaguing the industry: from scarcity of expertise, to decision complexity, integration issues, and information overload. Adopting AI on the shop floor enables businesses to completely transform their processes. Let's look at what AI is helping the manufacturing sector to achieve:
• Process Automation: The use of AI and robots is particularly appealing in industrial manufacturing as they revolutionize mass-production. Robots are capable of doing repetitive tasks, streamlining the production model, increasing capacity, building automation solutions eliminating human error and delivering higher levels of quality assurance.
• Round-the-clock Production: While humans are forced to work in 3 shifts to ensure continuous production, robots can enable a nonstop, 24/7 production line. Businesses can augment their production capabilities and meet the growing demand of customers worldwide.
• Safer Working Conditions: With several mishaps happening on the shop floor, a shift towards AI means few people are have to carry out dangerous and overly laborious work. As robots replace humans and perform mundane and risky tasks, the number of workplace casualties will plummet all across.
• New Opportunities for Humans: As AI takes over the shopfloor and automates boring and mundane human tasks, workers will get to focus on complex and innovative tasks. While AI takes care of menial labor, humans can focus on driving innovation and steering their business to newer heights.
• Reduced Operating Expenditure: Although bringing AI onto the shopfloor would require a massive capital investment, the ROI is substantially higher. As intelligent machines start taking care of day-to-day-activities, businesses can enjoy significantly lower overhead.

AI and industrial automation have progressed significantly in recent years. Development in machine learning techniques, advances in sensors and the growth of computing power have helped create a new generation of robots. AI helps enable machines to collect and extract knowledge, recognize patterns, and learn and adapt to new situations or environments through machine intelligence, learning and speech recognition. Using AI, manufacturers can:
• Make faster, data driven decisions
• Enable better production outputs
• Improve process efficiency
• Lower operational costs
• Enable greater scalability
• And facilitate product innovation

Improving Business Outcomes
The key driver of the Fourth Industrial Revolution is the speed at which it is happening. With technology now at our fingertips, businesses (and even industries) can scale up with the blink of the eye, extremely changing the way we live our daily lives (and in a fraction of the time). Using AI, industry leaders and technology pioneers can create the right platforms and solutions, extremely improving business opportunities and driving success in today's ever-growing digital economy.

Source by Toya T Peterson

The Effect of RPA on HR – Why Is It a Game Changer?

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Though many consider artificial intelligence (AI) and robotics to be past the reach of humans. Technology has proved it wrong. Innovations in the field of cloud computing, cognitive intelligence and machine learning have created the possibility to utilize robotic process automation (RPA) in daily life.

RPA is widely being regarded as the new revolution in HR. It is creating new opportunities for managers and CHROs to expand their area of operation within the business. What was once a time-consuming and grueling task can now be carried out by intelligent systems or computers; which are programmed to run calculations and analyze business metrics based on predefined algorithms and display best-fit results.

Over the years, human resource has enhanced its responsiveness towards the increasing business demands. It has been quick in adapting to new innovations in technology like shared service infrastructures, cloud-based information systems and advanced predictive analytics. Throughout the years, HR has evolved to establish itself as a core business process.

Despite this progress, quite a few HR teams still struggle to attain prominence among other business units. This could be due to the lack of cognizance or inadequate facilities to keep up with the growing business demands. Nearly 93% of HR peoples’ time is spent on repetitive and transactional activities, including manual data-entry, generating pay stubs, monitoring and sharing records within processes etc. Spending a great deal of time on such tasks that do not add much value to the business is a waste of valuable human effort.

By leveraging RPA in HR, nearly 65% of rule-based tasks can be automated. Imagine the amount of time and effort it can help accumulate. The collective effort, in turn, can be used to channelized resources towards business-centric activities that actually need human intelligence; increasing business prospects and improving the commercial outcome.

Why is RPA a game changer in HR?

RPA is considered a game changer when it comes to building a better and more productive HR team. RPA can:

• Improve quality and performance

‘To err is human’ is a known fact, but some processes demand a cent percent accuracy, failing which can lead to severe consequences. Automated systems or bots can assure full quality with zero error. Their algorithms are programmed step-by-step ensuring all necessary function are performed before calculating results. The chances of skipping or missing a number while operating is impossible with an automated system. Improved quality assures a better output and increases the ability to perform more efficiently.

• Provide better ways to manage data

HR is synonymous to a data warehouse. Every single day, HR employees’ are confronted with data from different sources in the form of employee credentials, applications and new hire information, payroll figures, compliance and regulatory necessities, etc. To manage such volumes of data can be a nightmare even for small businesses. Through RPA, a centralized system can be established to organize and share data within the organization. HR employees will no longer need to interfere in data maintenance tasks that become burdening and stressful.

• Create a seamless transition in business acquisitions

Integrating processes or acquiring a new business takes a lot of effort and commitment. Given the rate of KT (knowledge transfer) needed for a human vs. that of an automated system, the transition can be made smooth and seamless when systems can perform dynamically without much interference needed by supervisors. Including independently functional systems makes practices more efficient and productive.

• Deliver flexibility and scalability to the business

Increasing business demands require HR teams to connect the gaps imposed on the talent management and recruitment teams. The necessity for seasonal or short-term employees can lead to a lot of complications and thus putting the HR team under pressure. Such fluctuating employment needs can be minimized with the help of automated bots. These bots are equipped to adapt to different staffing demands and can be relocated within the organization to take up new roles and responsibilities.

RPA is beating all odds to establish itself as a very useful tool for HR. It is high time that more organizations start considering this technology marvel and adapt to it practically.

Source by Aarathi Bhattaram

The Android O Release: Sync in These 5 Features on Priority

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Android Oreo comes with increased functionality, better security, and improved performance. Here are 5 most exciting features of the Android 8.0:

Picture in Picture:

The picture in picture also known as PIP mode enables the user to enjoy multitasking on the go. It allows the user to open a small window in the phone that showcases the application in a paused state. This allows him to enjoy operating two different applications without any hustles. This feature is already available for Android TV but now it will be accessible in phones as well.

Notification Badges:

Now there is no need to open an application again and again just to ensure if you have missed a notification. A small dot will appear on top of the application icon to showcase pending notifications.

Notification Channels:

Now a small channel will contain information related all the notifications in an app. This channel will be highly customizable. You can change the color, theme, group notifications etc. This will allow quick and easy access to notifications on the go.

Background activity limitations:

Android 8.0 introduces new background limits for preventing the overuse of device battery and memory. New limits are added on location, wifi-scan, background services and broadcast.

Security and Privacy (permissions):

Android Oreo has made security one of its primary areas of focus. It emphasizes strongly on user privacy and data security. To make this happen Google has launched Google Play Protect which works as a virus scanner for Android apps.

Of course, the list of features in Android 8.0 does not end here. There are many other features that Google has introduced with Android Oreo. What we have covered here are the ones which will need a development upgrade. Also, here are some key advantages for the user with Android Oreo:

1. Autofill forms are now in the OS. That means that you won’t need to depend on third party password managers anymore. Autofill will allow seamless usage of apps without any worries regarding passwords.

2. Now you can enjoy the zen of machine learning at your fingertips. Android Oreo comes with smart text selection that will identify the best potential app for your copied text. For example, if you select an address then you can directly trigger Maps to find the location.

3. Now, there are new ways to express. Google has added a new set of emojis that has ushered a new wave of change for the messaging experience. They have done away with the old blob emoji which has some users quite upset.

Thus, we can see that Android O packs a lot of add-ons for the users. The update will start rolling from devices like Pixel and Nexus phones but no worries there are many phones in the line. Overall it is expected that this will be a fun experience for the users.

Why Upgrade Your Apps to Android 8.0?

Though, for some app owners it can be a necessity to upgrade their apps like in cases discussed above, it in no way means that if it is not mandatory then you should ignore it. Upgrading your app keeps you competitive in the app markets and ensures that users do not jump from your app to your competitor’s. Once you lose your loyal app users it is very hard to regain that trust. It is always better to take a step forward and lead the way by adapting to the change. New features like picture in picture, notification channels and dots etc are all aiming to provide more control to the user. By ensuring that your app keeps your users on the top priority you will not only keep your present users intact but also earn more users.

Source by Anurag Rastogi

5 Trends to Watch Out for to Deliver a Future Proof E-Commerce Website Design

machine learning articles


The world of commerce is increasingly coming over the web. With mobile web getting stronger and sophisticated than ever before, most businesses are now invariably focused to reach their audience with a fluid and versatile experience.

User experience or more precisely, ease of use is the single most important consideration to ensure traction and engagement. It is needless to say that design plays a major role in this. While there is no dearth of creativity and innovation in designing e-commerce websites, the following trends can help your brand to stay future optimized as well.

Material Design

Flat design has dominated for years just because it ensured optimum ease of use and easy access. But as flat design became commonplace, Google brought material design to bring some layers and depth to the flat design. With material design, an interface selling products can allow more layers and help prioritization as well as prominence in certain areas that deserve more action.

For example, subtle use of shadows and gradients can sharpen certain CTA buttons and create a visual hierarchy for the viewers.

More personalization of AI and machine learning

Artificial Intelligence and machine learning became possible thanks to an array of sophisticated sensors that process multiple layers of user data. With devices learning about users and adjusting to their needs thanks to data feedback, websites and web apps could have more scopes of personalization, whether addressing users with notification messages or suggesting them products with in-app messages.


Chatbots offer a complete paradigm shift for the websites and web apps dealing with real-time shoppers. Designed to answer all relevant queries at every step of purchase and browsing it actually replaces the so-called manual customer service to guide users.

Moreover, designed to build a conversation with personalized human touch the modern Chatbots can really sound convincing and pleasant to push customers for better buying decisions. Throughout this year and beyond Chatbots are going to be a mainstay in e-commerce website design and development.

Dynamic search

For any e-commerce site, it is very important to allow ease of searching products with minimum delay. Moreover, with the search results being the same with every user, many users can feel it depressing as they need to reach their desired ones with a lot of efforts.

This is why delivering search results based on the user intents and previous search history is important. Widely dubbed as dynamic search, this new and easy search feature is expected to be a mainstay across e-commerce websites.

Long scroll

Just think of scrolling down the Facebook news feed that seemingly goes on for miles. None of us get bored with scrolling down and encountering new pieces of contents as it continues revealing more.

Long scroll, when introduced into an e-commerce site, does almost the same thing by allowing us to see fresh new options as we scroll down. Moreover, scrolling down is a common action most users are frequently acquainted with.

Source by Manthan Bhavsar

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