PMI PgMP (Program Management Professional)

 

AI Automation Will Completely Change the Future of Enterprise

We live in the modern world where everything changes from time to time. Several ventures are getting re-organized. As on the other hand, small organizations are setting up their image and expanding. In addition, monopoly in business is becoming obsolete as well as anybody with the proper systems and artistic ideas can actually expect a generous share in wealth.

While thus far AI Automation is a really vague trendy expression in tech for some, there's no denying that the future of Enterprises actually lies with AI and Machine Learning. There are numerous forecasts made by specialists about the fate of data analysis and exactly how it'll shape AI in coming years.

Let’s first understand artificial intelligence. Explained simply, it's a machine programmed to function with the abilities of a human being. It mimics human behaviors in order to create responses to commands. But it doesn’t always resort to imitation of human methods to resolve problems. AI focuses on the issues presented to intelligence so as to create unique solutions. A key benefit which will be derived from AI is that it leaves no scope for human error. So a process which can have had a success rate of 70-80% is probably going to be over 99% efficient once automation and AI enter the picture.

ROLE OF AI AUTOMATION IN BUSINESSES

Even with all the fear mongering theories of AI taking over all jobs within the future, it might be ignorant to not see the massive leaps that companies can take with its help. Enterprise is going to undergo a significant makeover with the inclusion of AI Automation in the process. Artificial intelligence is guaranteed to make industries more efficient, capable of increased outcome and better results. The advent of AI into industries besides tech is going to leave tons of tasks to machines programmed in order to carry them out with proficiency. This will enable these industries to use their human resources for other activities like research, which is an important task in the context of today’s complex and competitive society.

These are a couple of avenues where AI in business will presumably shine on :

ANALYTICS

Analysis are often applied to the existing data to fabricate a superior and upgraded product. AI-based frameworks likewise enhance marketing strategies and may cut down advertising uses by giving the best plan for your business. What simply makes AI Automation so incredible is that, it can actually learn. That enables them to actually adjust when trends change and improvise as more information comes in.

Data driven decisions are always much more effective and straightforward. Numbers pulled from facts are rarely wrong, and if used shrewdly nearly always effective. Brad Pitt in Moneyball made that very clear. Imagine how much easier it would actually be to make a sale, if you already know the customer’s shopping pattern?

ASSISTANCE BOTS

Several organizations for virtual help are either utilizing or working towards AI Automation. Organizations utilize chat-bots for different tasks. The most significant vertical is client care. There is a really high possibility that Virtual Assistants will become a core aspect in businesses and day to day life, and firms will leave no stone unturned to give the final customer care experience to their customers.

AUTOMATION

Industry pioneers are foreseeing that automation will definitely reach incredible heights, with the surprising ascent of AI. Shrewd algorithms are assuming significant positions in several businesses such as consulting firms, retail, hospitality and so on so forth. These automations aren't only precise and efficient, they also work around the clock without really breaking a single sweat- metaphorical and otherwise.

AI is actually set to be a significant influence in helping new businesses and existing enterprises tackle complex issues, launching them prior to the competition. But, between then and now, certain changes would need to be made. The only solution to this particular overhaul of entire industries is to embrace it. Furthermore, in order to equip as well as nurture skills relevant to the future, which evidently, is digital. However it’s also human. And that makes it one of the most brilliant oxymoron to have ever really existed.

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Agile Vs Scrum: Difference between Agile & Scrum

What Is Agile Methodology?

This Methodology is nothing but a practice that assists continuous iteration of development as well as testing within the SDLC process. Agile breaks the product into smaller builds.

In Agile, development as well as testing activities are concurrent, as compared to other software development methodologies where it is not. It also encourages teamwork and face-to-face communication. Business, stakeholders as well as developers and clients must work hand-in-hand in order to develop a product.

What is Scrum in Agile?

Scrum is nothing but a process that permits software development teams to concentrate on delivering business values in the shortest amount of time by rapidly as well as repeatedly inspecting actual working software. Moreover, it focuses on teamwork, accountability and iterative progress towards goals that are well-defined. Scrum Framework usually deals with proven fact that requirements are likely to vary or mostly not known at the start of project.

KEY DIFFERENCE

Scrum is a process to concentrate on delivering the business value in the shortest time whereas, in Agile a continuous iteration of development as well as testing within the software development process.

Agile delivers the software on a daily basis for feedback while in case of Scrum, it delivers the software after each sprint.

In the Agile process, leadership plays an important role; on the opposite hand, Scrum fosters a self-organizing, cross-functional team.

In addition, Agile involves collaborations as well as face-to-face interactions between the members of various different cross-functional teams whereas in case of Scrum collaboration is achieved in everyday stand up meetings.

In Scrum process design as well as execution can be really innovative and quite experimental, whereas in Agile process design as well as execution should be kept quite simple.

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Introduction To AI Levels

AI short for Artificial Intelligence is simply composed of 2 words Artificial and Intelligence, where Artificial defines something "man-made," and intelligence defines "thinking power", therefore AI simply means "a thinking power which is man-made." In addition if we talk about the different levels of AI there are many, let us give you brief introduction to them:

Narrow AI: A AI is said to be narrow when the machine can perform a particular task better than a human. The current research of AI is here now

General AI: An AI or artificial intelligence reaches the general state when it can perform any intellectual task with the same accuracy level as an individual would

Strong AI: An AI which is strong when it can beat humans in multiple tasks

Nowadays, AI is used in the majority of industries, giving a technological edge to all companies integrating AI at scale. AI has the potential to create about 600 billions of dollars of value in retail, bring 50% more incremental value in banking when compared with other analytics techniques, according to McKinsey. In transport as well as logistic, the potential revenue jump is 89% more.

In conclusion, if a company or organisation uses AI for its marketing team, it can actually automate mundane as well as repetitive tasks, allowing the sales representative to concentrate on tasks such as lead nurturing, relationship building, etc. A company name Gong actually provides a conversation intelligence service. Each and every time a Sales Representative makes a call, the machine records transcribes as well as analyzes the chat. The VP can also use AI analytics and recommendation in order to formulate a successful winning strategy.

In a nutshell, AI provides a cutting-edge technology to actually deal with complex data which is absolutely impossible to handle by a human being. AI actually automates redundant jobs, thus further allowing a worker to concentrate on the high level, value-added tasks. Moreover, when AI is implemented at scale, it results in cost reduction and revenue increase.

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Best Project Management Certification

 Best Project Management Certification

Behind every successful IT project, you will for sure find a highly skilled and professional project manager. From hardware as well as software upgrades to ongoing security patches, to application development as well as the rollout of software itself, project managers keep your teams on task and productive at all times.

Well you’ll say almost any IT professional can have the advantage of adding a project management certification to their list of IT credentials, showing you’ve got the know-how to plan, budget, schedule, execute, deliver and lastely report on it initiatives. Let us outlines the best project management certifications that will add value and help you hone your skills.

Associate in Project Management

The Global Association for Quality Management (GAQM), which administers the Associate in Project Management (APM) — also as an expert in Project Management and a licensed Project Director certification — is actually a global, not-for-profit certification body that gives credentials across a range of IT specialties. The project management certifications by GAQM are completely focused on a really wide knowledge base and emphasize effective resource allocation, adaptability to all the changes, clear direction, effective communication and also assurance of quality deliverables at minimal risk. The APM program is truly designed for the entry-level project manager, or for individuals who want to begin a career in the field.

Certified Associate in Project Management (CAPM)

The Certified Associate in Project Management, administered by the (PMI) Project Management Institute, is really the precursor to the Project Management Professional (PMP) certification. For professionals without a college degree, or with only rudimentary project management experience or individuals who want to attain their PMP certification in steps rather than all right away, the CAPM is actually a stepping-stone to the more rigorous PMP.

Certified Project Director

The GAQM’s Certified Project Director certification is actually the credentialing body’s highest-level project management certification. This designation is meant for skilled and experienced project managers who are involved in directing multiple, complex projects and programs. Moreover, the program focuses on managing, budgeting as well as determining scope for various projects, several project teams, and assessing as well as mitigating interdependent risks to deliver projects successfully at the end. The CDP program is merely for people who have significant project management experience.

Certified Project Management Practitioner (CPMP)

The EC-Council was formed after the Sept. 11, 2001, terrorist attacks to address problems with cyberterrorism and also the information security of nations at large. The Certified Project Management Practitioner course by EC-Council is for those project managers who want to benchmark their skills through practical hands-on experience and across different management techniques as well as tools required to successfully manage complicated projects efficiently. The objective of the CPMP course is to essentially add value to management professionals by developing managerial, leadership and technical skills required to form any project, small or complex, a success.

Certified Project Manager (CPM)

The International Association of Project Managers (IAPM) is actually a global professional association as well as certification body which focuses on the project management profession. There are about 4 levels of certification within the IAPM, which are split into 2 disciplines, traditional project management as well as agile project management: Certified Junior Project Manager as well as certified Junior Agile Project Manager; Certified Project Manager as well as certified Agile Project Manager; Certified Senior Project Manager and certified or authorized Senior Agile Project Manager; and even certified International Project Manager. IAPM’s Certified Project Manager certification is for candidates with a foundational knowledge of project management, including the fundamentals of planning, organization and implementation of various different projects. Furthermore, the exam covers both the hard as well as soft aspects of project management.

Certified ScrumMaster (CSM)

The use of agile methodologies has become standard, so it is not really surprising that IT practitioners uniquely qualified to manage projects in agile environments are in high demand. While there are different Scrum master certifications available, the Certified ScrumMaster (CSM) from Scrum Alliance is a really great springboard for project managers getting started as Scrum practitioners. The Scrum Alliance, which offers this credential, is truly a nonprofit organization that encourages the adoption of Scrum and agile practices, promotes user groups and learning events, and provides resources for professional development. The organization boasts over 450,000 certified practitioners worldwide.

Master Project Manager (MPM)

The AAPM or American Academy of Project Management has modeled the MPM after the “professional licensure” model that several professions like doctors, pilots, engineers as well as lawyers follow. Moreover, the American Academy of Project Management essentially focuses on professional project managers, however it even includes professionals with responsibilities of business as well as technical management.

Professional in Project Management (PPM)

The Professional in Project Management (PPM) is nothing but a mid-tier project management credential from the GAQM. The project management certifications of GAQM are totally focused on a huge knowledge base and further emphasize effective resource allocation, clear direction, effective communication, adaptability to different changes as well as assurance of quality deliverables that too at minimal risk. Furthermore, the PPM is actually targeted towards intermediate to experienced project managers who are involved in risk as well as crisis management, and those that are involved in the day-to-day management of projects.

Project Management in IT Security (PMITS)

The PMITS or Project Management in IT Security by EC-Council actually explores the complexities of managing an IT security project in detail. The certification further assists candidates to actually reinforce their already existing project management skills while also further tailoring them to the unique requirements of implementing as well as managing IT security within their organizations.

Project Management Professional (PMP)

The gold standard in project management certifications, the Project Management Professional certification is basically a rigorous test that covers absolutely everything you truly got to prove your knowledge and skill in managing the “triple constraints” that is time, scope as well as cost. The PMI is this credential’s parent organization, and works continuously with businesses and academia to make sure relevance for the certification.

These are just few of the Best Project Management Certification that we have mentioned, there are a lot more Project Management Certification other than the ones mentioned above.

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What is Big Data – A Beginner’s Guide to the Big Data World

 

What is Big Data – A Beginner’s Guide to the Big Data World

What is Big Data?

Big Data refers to the massive amounts of data or information which is pouring in from various data sources and has different formats. Even previously there was huge data which were being stored in databases, however because of the varied nature of this Data, the traditional relational database systems are incapable of handling this Data. Big Data is much more than a collection of datasets with different formats, it is an vital asset which can be used to obtain enumerable benefits.

Big Data Analytics

Now that we’ve told you what’s Big Data how exactly it’s being generated exponentially, let us present to you a really interesting example of how Starbucks, one of the leading coffeehouse chain is actually making use of this Big Data.

We came across a Forbes article which reported how Starbucks made use of this particular technology to analyse the preferences of their customers to enhance and thus personalize their experience. They analysed their member’s coffee buying habits along side their preferred drinks to what time of day they’re usually ordering. Therefore, even when people visit a “new” branch of Starbucks in a new location, that store’s point-of-sale system is able to spot the customer through their smartphone and thus provides the barista their most preferred order. In addition, based on ordering preferences, their app will suggest new products that the customers could be interested in trying. This is what we really call Big Data Analytics.

Basically, it’s largely utilized by companies to facilitate their growth and development. This majorly involves applying various data mining algorithms on the given set of data, which will in turn then aid them in better decision making.

There are several tools for processing Big Data like Hadoop, Cassandra, Hive, Spark, Kafka, and many more, depending upon the requirement of the organisation.

Big Data Applications

These are some of domains where Big Data Applications has been revolutionized, which are:

Entertainment: Amazon and Netflix use big data to make shows as well as movie recommendations to their users.

Insurance: Uses this technology in order to predict accidents, illness as well as price their products accordingly.

Driver-less Cars: Driver-less cars by Google collect about 1 gigabyte of data per second. These experiments further require more and more data for their successful execution.

Education: choosing big data powered technology as a learning tool rather than traditional lecture methods, which enhanced the learning of students as well aided the teacher to track their performance better.

Automobile: Rolls Royce has embraced this technology by fitting several sensors into its engines and propulsion systems, which record every tiny detail about their operation. The changes in data in real-time are reported to engineers who will decide the most effective course of action like scheduling maintenance or dispatching engineering teams should the problem require it.

Government: a really interesting use case is in the field of politics to analyse patterns and influence election results. Cambridge Analytica Ltd. is one such organisation which completely drives on data to actually change audience behaviour and plays a significant role in the electoral process.

Scope of Big Data

The career opportunities concerning the field of big data include, Big Data Analyst, Big Data Engineer, Big Data solution architect etc. 59% of all Data Science and Analytics (DSA) job demand is in Professional Services, Finance and Insurance, and IT according to IBM.

Furthermore, an article by Forbes reveals that “IBM predicts demand for Data Scientists will soar/increase exponentially by 28%”. According to IBM, by the end of 2020, the amount of jobs for all US data professionals will increase by 364,000 openings to 2,720,000. And there will be immense growth in the usage of big data analysis across the world.

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Artificial Intelligence Tutorial : All you really need to know about AI

AI is actually a technique that allows machines to mimic human behavior. If we talk about AI it is the theory as well as development of computer systems which are able to perform tasks normally requiring human intelligence such as speech recognition, visual perception, decision-making as well as translation between languages.

AI is nothing but the simulation of human intelligence done by machines programmed by us. The machines ought to learn how to reason and do some self-correction as required along the way.

Artificial Intelligence is actually accomplished by studying how exactly the human brain thinks, decide, learns, and work while trying to solve a issue, and then utilizing the outcomes of this particular study as a basis of developing intelligent software as well as systems.

Importance of Artificial Intelligence

Artificial Intelligence (AI) has made it possible for machines to actually learn from experience and grow to perform human-like tasks. You hear about a lot of flashy examples of Artificial Intelligence such as Chess Playing Computers, or Self Driving Cars, which rely heavily on Deep Learning as well as Natural Language Processing. Using these technologies, computers are usually trained to accomplish particular tasks by processing enormous amounts of data as well as recognizing patterns in the data.

There are plenty of Areas which contribute to AI namely:

• Mathematics
• Sociology
• Philosophy
• Computer Science
• Psychology
• NeuroScience
• Biology

Moreover, if we have a look at the significance of Artificial Intelligence:

AI automates Repetitive Learning and discovery through data. AI performs frequent, computerized, high-volume tasks that are quite reliably and without any type of fatigue.

Moreover, AI adds intelligence to existing products. In most cases, AI won’t be sold as an individual application. Instead, products you already use will be improved with the capabilities of AI, much like Google Assistant which was added as a feature to a new generation of Mobile Phones.

Moreover, AI adapts through progressive learning algorithms so as to let the data do the programming. The algorithm becomes a classifier or a predictor. So, even as the algorithm can teach itself exactly how to play any game, it can teach itself what product to recommend next online.

AI actually analyzes more and deeper data using really neural networks that have several hidden layers. You need numerous data to train deep learning models because they learn directly from the data. The more data you’ll be able to feed them, the more accurate they become.

AI achieves astonishing accuracy through deep neural networks, which was previously next to impossible. AI techniques from object recognition, deep learning as well as image classification can now actually be used to find cancer on MRIs with the same accuracy as highly trained professional radiologists.

Applications of Artificial Intelligence

Following are a few of the important applications of AI:

• Speech Recognition
• Machine Translation
• Facial Recognition and Automatic Tagging
• Virtual Personal Assistants
• Self Driving Car
• Chatbots

Artificial Intelligence Job Profiles

1. Machine Learning Engineer

2. Data Scientist

3. Artificial Intelligence Engineer

4. Business Intelligence Developer

5. Research Scientist

6. Big Data Engineer/Architect

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What Are PMI And PMP

 Project Management Institute or PMI is actually a not for profit organization that provides a certification program for project practitioners for all educational and skill levels.

PMI is actually based in the USA and has local chapters across the world. Therefore, if you’re based in Singapore, you can actually look for a PMI chapter in Singapore. Such local chapters conduct regular knowledge sharing and networking sessions for people curious about project management.

PMI is actually the world’s leading not-for-profit association for the project management profession. It actually became popular because it administers the PMP examination, and also provides the PMP credentials to anyone who has the required minimum experience, and passes the examination.

PMP

PMP stand for Project Management Professional. PMP on the other hand, is one of the certifications awarded by PMI. It is actually a credential industry recognized as well as demanded worldwide. For many of the project management jobs, it’s a compulsory qualification.PMP certification is not restricted to a specific domain. A project manager working in any sort of industry, be it retail, manufacturing, defense, or even information technology, can write the PMP examination and upon successful completion can actually be a PMP certified professional.

The PMP certification has actually become the de facto certification for project managers. Some companies around the world even demand PMP in their job specifications. Just having the words “PMP” printed on your business card can have an excellent effect on your prospects, customers and friends.

Getting a PMP certification is not difficult. It just requires that you simply follow the right approach, take the correct steps, read the right material, and do the PMP exam practice tests. If you follow the regular PMP Training schedule, you can really be ready to take the PMP test in as little as 60 days. The PMP examination is actually based on your experience as a project manager, your ability to solve problems, and a robust foundation in Project Management.

Once you understand the PMP exam’s format, terminology, style, and learn the Project Management fundamental basics, you’ll actually be in on your way to clear the PMP examination quickly, and without hassles.

PMI is actually an organisation which will provide support and educational opportunities for Project Management. Being a part of this body of dedicated and learned professionals will greatly assist and support you in your own efforts as a project manager.To sum up, PMI is an organization, and PMP is a credential. PMI therefore writes and supervises the PMP examinations.

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