Technology is an invaluable contributor to business efficiency. And the kind you use actively today says a lot about your adaptability to change and market uncertainties. User behavior evolves, influencing product innovation. Tools are subjected to continuous technological updates, whose quality is superior to that of their predecessors. Movements in the Artificial Intelligence industry are being closely followed by experts and researchers alike in order to make sense of the impact it wields on work, workplaces and the workforce.

Machine Learning is the key to find out solutions for complex problems of systems. So if you want to become a proficient programmer then Intellipat offers you the best Machine Learning Training Courses from industry professionals.

Machine Learning has enabled project managers to run more, and better projects on the basis of the data processed. Besides ensuring transparency across people and processes, ML applications save several hours on the clock that would have otherwise been routed towards determining the course of action to be taken.

Here are a few ways Machine Learning boosts project delivery –

1. Resource predictions –

Machine learning helps project managers create project teams on the basis of skills relevance and availability of competent resources. In fact, machine learning within a resource management software even lets you determine the likelihood of going over or under the existing workforce capacity. In other words, whether your workforce strength is sufficient in quantity and quality to staff incoming as well as existing work.

This data includes the skills utilized on previously available hours and future bandwidth estimates for pipelined projects. This way, you’ll know which skills are critical, and whether employees possessing the required credentials are available for the location and time frame in question. Your hiring cycles then remain demand-driven ,letting you tap into potential from within.

2. Updates databases –

Machine learning works by ingesting data and sorting them into clusters. Logic-driven algorithms are then applied to the data in order to generate meaningful output. The data then goes into a centralized database which gets synced and updated periodically. Embedding machine learning intrinsically into your project lifecycle ensures the information you’re working with is useful and relevant to the project phase teams are in.

An automated database not only captures business activities spanning the enterprise, but also ensures bottlenecks are flagged and brought to the concerned authorities’ attention sooner for strategic resolution. In order to reconcile funds allocated to the project against its expected returns, every stakeholder would want status updates which reflect how a particular activity is progressing and the overall project health. And with a machine learning component, project managers have all the answers to questions concerning performance. They also get more time to plan the portfolio pipeline at a strategic level.

3. Catches discrepancies –

While machine learning is a subset of automation learning, what differentiates it from AI is that it requires lesser human intervention. It instead, relies on training models to create identifiable patterns. When patterns are recognizable, so are alternate paths (i.e. there is more than one way to reach a solution) and deviations. When a process runs incorrectly, the effects are visible in the form of lowered efficiency. Spotting the causes behind it lets you carry out damage control.

An area repeatedly disputed by employees and managers alike is the number of effort hours utilized on the bandwidth available. Machine learning has the advantage here, because it can entertain data coming in from both resource and project channels without short circuiting the database. Resource managers can pull insights from an analytics dashboard, and keep billable utilization at an optimal level.

This way, your talent pool’s performance is brought to a unified metric where there is no question of a member doing more, or less than their colleagues. Project delivery gets a boost when the hands on deck are allocated work that makes use of their expertise

4. Re-establishes baselines –

With the shift to iterative agility and a more immersive work culture, changes requested after the project is underway no longer catches project managers and their teams by surprise. There is, however, the question of what trade off will have to be made. After all, one constraint changing impacts the other ones too, similar to the Domino effect. For example, a scope change deemed feasible and sensible to implement would require a recalculation of costs, time and effort investments.

Data points from a machine learning source aggregate constraints and gives you a baseline for each constraint. What’s more, you’ll know which area of the project is likely to overrun originally drawn estimates. Rather than take on a firefighting approach, the spend can be sized up beforehand in order to leave a margin for baseline redistribution.  Put simply, the project won’t suffer from a crunch in skills and budget. Digitally documenting the risks encountered and mitigation plans lets you prevent recurrences in the future, ensuring baselines can be reused.

5. Economizes operating costs –

Operating costs would include the costs to explore an opportunity, acquire staff and train them via the appropriate reskilling and/or upskilling measures. It is counterproductive, therefore, to downsize  your resource pool during peak seasons, or worse, expand your talent pool during a recession. Seasonal fluctuations impact lines of work. When there is less work to go around, more staff are benched. Conversely, when you have a lot of projects converting to actual work but fewer or inexperienced hands to take it on, a skills crunch ensues. You’re then forced to pass up an opportunity or take up one that doesn’t align strategically with your market goals.

A machine learning component prevents you from adding more to your payroll costs by sizing up project requirements comprehensively, i.e. its scale.  It performs a cost-to-benefit analysis for incoming projects as part of its early feasibility study. This way, project selection can be capped on the basis of the returns expected.  Making impactful decisions from the very start complements your experiential judgement, letting you assemble a work-ready workforce. Data science is also helpful in leveraging the right type of talent onto projects, be them external (for a client) or internal. It profiles employee records by their credentials and notifies you of expiration dates on contracts and certifications. Not only are you assured of the project’s duration being utilized correctly but that the team can offer the work quality sought after.

A 2019 report  by PwC revealed AI is slowly moving out of its infancy stage, with 47% of companies actively planning to use aspects of it. As a niche technical area, this number implies that there will be more widespread usage of the machine learning and data analytics subset. An entirely different set of project-oriented roles will be created solely to drive future work. With a prediction engine that teaches humans as much as it learns from us, it is safe to conclude why machine learning is a technological trend that will mold the effectiveness of work itself!

Author Bio:

Aakash Gupta is the subject matter expert in resource management at Saviom Software. An acclaimed columnist in project efficiency space, his publications have drawn significant interest from leaders wishing to do more with productivity scales. Connect with him here to know more.

 

With the continuous evolution of technology, every sphere of our lives has been affected, for better or worse. Every year brings in new trends and changes, which become a prominent part of our daily routines. The virtual world of the Internet, in particular, is changing rapidly every year, and with the world becoming a global village, trends seem to spread like wildfire.

With the year 2019 in its full bloom, let us consider some of the latest trends this year has brought with it and the effects these trends will have all around.

What Are The 10 Latest Internet Trends to Look Forward In 2019?

1. Rise in DIY Solutions for Applications:

DIY solutions (Do-It-Yourself) are gaining more and more popularity day by day. Applications being developed these days contain easy to use interfaces and thorough tutorials, which help people operate them on their own. Experts were required to handle tough applications for a long set of years, but in this year, we can observe a wide number of applications that readily facilitate the do-it-yourself cause. Be it music related applications, or a house designing software, you can see the glimpses of self-sufficiency everywhere.

2. Passwords are Becoming Obsolete:

As we have observed in a number of mobile devices being released these days, passwords are becoming a thing of the past. With touch sensors making our lives easier and more convenient, everybody wants to join in the bandwagon. Identity confirmation has been taken to the next level with iris scanners and the ever-advancing facial recognition features. Even the most sensitive of data transactions such as those related to the banking sectors are being conducted with simplistic swipes and hand gestures, which is indeed a step forward.

Must Read: 5 Major Factors That Will Influence The Mobile Apps Market In Future

3. Remote Working is the ‘IT’ Thing:

With the world becoming a global village in the modern era, remote work environments are gaining major popularity. You don’t always have to be available at your desk in order to get important stuff done. With remote connectivity options, any capable computer can become your personal work station through a set of applications and security protocols. Working parents often have to take care of their families as well as their work; working from home has become more of a necessity. This year is bringing in upgraded efforts towards the betterment of such facilities. Major Internet Service Providers are offering remote solutions to problems in real time. At&t and Comcast are notable names which prove to be particularly useful in this regard.

4. Video education is becoming widely popular:

With the rising credibility of famous portals like Khan Academy, video education is becoming widely popular. Reading through a certain piece of information might be more thorough but videos can cover the same thing in a quite smaller span of time along with a number of added benefits. For instance, videos generally incorporate interactive and interesting visual elements. On top of that, we humans have a certain part of our brain dedicated towards photo memory which tends to store images the way they are along with the content included in them.

5. Videos acting as introductory tools:

There are a wide number of websites popping up these years which open up with video tutorials regarding the various ins and outs and how to make the most out of the website. 2019 has seen a number of webmasters changing the layouts of their websites and incorporating video elements to boost their traffic and rankings. A simple call-to-action play button urges the audiences to get the entire layout in merely a minute so that the mood doesn’t dull and the message is conveyed.

6. Subscription services on the rise:

We have all heard of Netflix, right? There are a wide number of other portals including Netflix, which have given rise to monthly subscription services to facilitate their customers. A number of old players have included subscriptions to their offerings, as they have understood how convenient these can be for customers. The data trends clearly suggest that this year is observing even more people shifting towards subscription services as it helps them find tailored content along with the option to choose their payment plans.

7. Voice interfaces are taking over:

Bixby, Siri, and Alexa, we have all heard these names repeatedly especially in recent years. As you may have already guessed, all these are voice assistants, which are helping audiences be astonished and facilitated at the same instance. Developers across the globe have identified how consumers are shifting towards using their voice assistants and are therefore trying to offer better and more thorough functionality. 2019 is giving us upgraded versions of a number of prominent voice assistants such as Bixby and Alexa and their utility is ever evolving to the verge of where we just need to say something simple and complex solutions will be presented to us.

8. AI and machine learning have advanced:

Machine learning is the need of the hour as various devices read users trends and adapt the utilities accordingly. There is a reason after all behind the reinforcement of machine learning and advanced AI features in mobile devices by major companies like Huawei, Samsung, and Apple. They have identified that audiences don’t have enough time to go through each and every list to find objects that suit their interest. Therefore, if a machine or an application readily tailor an accurate list in response to what we love… voila! We have finally been understood!

9. Netflix might be facing competition:

We have seen how Netflix has taken over the world by storm in the past few years. This ever-rising popularity of Netflix and the dependency of users over it is a serious threat to a number of companies. Therefore, this year, a number of major corporations like DC and Marvel are planning to cease launching their exclusive shows over Netflix and come up with their very own version of streaming service to share in with the massive profit streams. It is a plan in progress as of yet, but by the end of this year, we might expect some major announcements in this domain.

10. Rising concerns regarding data security:

With the major data leaks over Facebook and a number of other portals in the previous year, the general public is getting more aware regarding their data security. People have started rising justified concerns, which is very healthy for an unbiased and unexploited system to function. We can also see a number of new forums opening up regarding these security issues. Not only that, the general spending of people towards anti malware software has also seen a rise over the course of the past few years.

These are just a few of the visible trends, associated with this year. Every year comes a number of secrets that unveil as time passes. Let’s keep our fingers crossed!

Author Bio:

 

 

 

Robert James is an MIS with a vast experience and research in tech and entertainment industries. He also likes to write in order to deliver the latest news regarding these industries and enlighten audiences regarding the various happenings. Robert recently covered a story on the Warner Bros CEO Tsujihara’s Scandal which generated major hype. Besides this, he indulges in MMA fighting in his leisure time.

Must Read: Top 5 technology trends in 2019 that will rule the future

The Year 2018 is over.

Let us have a look at the Top 5 technology trends in 2019 that will rule the future, Every now and then there is an innovation going on and technology tends to take a leap. This technology innovations have started making a huge impact on organizations. Most of the manual jobs have taken a hit and replaced by automation or robots. The trends in data science, computing technology and data connectivity has prompted this change in technology trends and today we are going to have a look on one of the top 5 technology trends in 2019 that will rule the future.

We have seen the rise of new digital currency in the form of cryptocurrencies (sorry, still not popular in most parts of the world), artificial intelligence and augmented reality.

Some of these trends will be with us next year, but some new trends will emerge.

 

We have gathered top 5 technology trends that will dominate the IT industry in 2019 and beyond.

1) Artificial Intelligence :

AI has always been in its infancy, but 2019 should change that.

For all this time, the world has grown only to the point that the AI ​​experienced. It has been trained by giving various data to see how he would analyze, reproduce and use them. This concept had many tasks, and one of them was to give up bad solutions. Thus, now the AI ​​is at the stage when quite a bit remains to general use.

In a span of few years, technology experts are predicting that all the software will be using AI at some levels, which will eventually lead to automation in industries. It will be one of the most sought-after, high paying job in the tech industry.

In 2019, organizations will seek to find out how well AI can be integrated into their business.

Read More: How Machine Learning is helping business grow in market?

2) Augmented Reality:

Starting with gamification, marketing and ending with entertainment, augmented reality is one of the important things that you should pay attention to. Augmented reality systems allow you to combine and reproduce the effects of touch, smell, vision (in 3D and more dimensions), and locations to attract the attention of users. AI is also being used widely in healthcare industry to train doctors, nurses and will soon be available easily in smartphones.

This concept has many perspectives for various industries – from art, entertainment, trade and finance to the healthcare industry. In addition to the general application in the entertainment industry, the technology can be used to improve the skills of specialists, the presentation of products … the possibilities are endless. And in 2019 we will meet augmented reality more and more often in various areas.

 

3) Internet Of Things :

It is still we can say early days for IoT technology, but there are lot of opportunities hidden for individuals having data analytics, data science skills to make use of information given from the usage of IoT applications. Now you can connect the surveillance camera with your devices and access the live broadcast from anywhere. The same can be done for a pair of other household appliances. But then how about all your devices going online in real time and even making decisions for you based on your preferences?

This is no longer a fantasy. This is the Internet of things, which will become an every day thing in future for us.

 

4) Machine learning :

Many people make the mistake of confusing it with artificial intelligence. Although this is related to the old concept of AI, this is a new area in and of itself. How else would you explain that you treat a computer as if it has a brain, and that it can be taught to do something that was not programmed? This is machine learning.

This year there have been many scientific breakthroughs in this area. This should continue in 2019, but there will be more implementations and applications to support it.

Analysts expect the machine learning market to grow by more than $ 8 billion in 2021.

 

5) Cyber ​​security:

Cyber security is known as a technique that protects our computers, firewalls, networks, critical server data from any unauthorized attacks or malware which is practiced to steal any organization or company data. Now a days most of the organizations are having their team of cybersecurity experts to take care from any data breach or cyber attack.

Since the advent of the Internet, this is a trend that is relevant every year. With every big and important technology comes a big responsibility in managing, processing and maintaining data. That is why everyone should be protected from cyber attacks.

Personally, you don’t need to spend millions of dollars on cybersecurity. With VPN, you can get the anonymity and security you need.

What is a Firewall?

A firewall is a security system connected with network which monitors and controls all the incoming and outgoing network traffic based strict security rules.

Conclusion:

Finally these were one of the top five technology trends in 2019 that will rule the future. Apart from this, if you are aware on anymore technology trends you can comment below.

Read More: What Are The Emerging Risks From Biometric Technology?