Artificial Intelligence powered HR Automation in Workplace

Artificial intelligence (AI) has been changing our lives for decades, but today its presence is bigger than ever before. AI has powered HR automation. Human resource processes plays vital role in every company. Whether it’s recruitment, onboarding process, training, learning & development. Artificial Intelligence is entering the HR space, and very soon everything that can be automated, will be automated.

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HR automation is the process of enhancing the efficiency of the HR department by freeing employees from tedious manual tasks and allowing them to focus on complex tasks like decision making and strategizing. By automating standard and repetitive HR activities, organizations can reduce the cost and time they spend on manual HR planning and processing. Through HR automation, organizations can design, streamline, integrate, and deploy necessary services swiftly at a considerably lower cost. If implemented right HR Automation tools shows real effectiveness to be more productive, freeing us of our most mundane and time-consuming tasks so that HR can drive more value at work. Few of latest HR automation tools which are AI based:

  • HR Chatbots – HR chatbots are changing the way routine HR processes and functions are done. One such tool that has shown immense potential and is pegged to revolutionise the way businesses interact with customers and employees are chatbots. Chatbots are artificial intelligence programs that conduct conversations. HR Chatbots acts as Help desk.
  • E-recruitment – Another big hit automation tool for hiring process used by HR. The E-Recruitment, also known as Online Recruitment, is the process of hiring the potential candidates for the vacant job positions, using the electronic resources, specially the internet.
  • HR Analytics – Smart automation systems excel at wading through deep pools of data to pull out important insights.
  • E-Learning – Now a days through Artificial Intelligence tools, e-learning has created a big platform not only in business environment but also in education industry.
  • Virtual Onboarding – Onboarding is vital part of any HR processes and for Multinational organization companies are who are hiring hundreds of people across the globe throughout the year, creating an onboarding program that is delivered in a virtual manner is critical. It enables the new hire to access the information WHEN they need it and in a way that is engaging and easy to consume.
  • Gamification – Gamification is the usage of game-thinking and game mechanics in non-game scenarios such as business environment and processes, specifically in recruitment, training & development and motivation; in order to enhance employee engagement.

The Benefits of HR Process Automation

Through HR automation, organizations can design, streamline, integrate, and deploy necessary services swiftly at a considerably lower cost. If implemented right, HR automation can reap indispensable benefits. Here are the benefits of HR automation:

  • Improve productivity due to quick processing and data sharing.
  • Reduce employee turnover due to heightened employee engagement.
  • Slash down storage and printing costs associated with paper-based processing.
  • Stay free from compliance risk or policy violations.
  • Enhance organizational growth through efficient hiring at optimal operational cost.
  • Drop in data entry errors and misplaced/lost documents.
  • Make intelligent business decisions with insightful reports.
  • Collaborate with other stakeholders to hire, train, and retain skilled employees.
  • More time to analyse HR data to make intelligent business decisions.

 

Posted in Agile, AGILE Tools, Artificial Intelligence, Machine Learning, Process Change Management, Salesforce, Salesforce AI, Salesforce Einstein, Salesforce Einstein, Salesforce Machine Learning, Team Collaboration.

Predicting Success of your Salesforce Development Project

Can you really predict the success of your Salesforce Development /Integration project with a high degree of confidence at the beginning of your project?

The answer is No!

But you can rate your people, process and tools that are required for success and use that to predict success with a ‘good enough’ confidence level.

Pillars of Salesforce Development Project

Pillars of Salesforce Development Project success.

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Posted in Agile, Apex Development, Salesforce cloud Implementation, salesforce consultant, salesforce customization, salesforce development, Salesforce DevOps, Salesforce Implementation. Tagged with , , , .

A Primer in Software Testing

Software testing is a field that gained currency in late 90s and 00’s for different reasons. As people moved from client server to web applications, it got a new life as software systems will behave differently. Software testing was re-invigorated with Web 2.0. Subsequently it was in focus again with mobile applications and tailoring user experience for mobile devices. Lately, focus on software testing is again on the go with new architectural patterns including micro services architecture. Model driven testing and behavior driven development have been other testing approaches that have influenced the overall industry. Today, cloud based applications (such as Salesforce) that can scale on-demand and cloud based storage are in vogue; these require not-so-different test practices. Continue reading

Posted in Agile, Software Testing.

The Future For Analytics, Data And What It Can Do For Businesses?

Times are changing; this has been a term in use since the rapid progress of humanity since the 18th century. Today, it can be used even on a daily basis. Technology remains the cornerstone through which humanity evolves, it is now embedded in every single part of our lives today and imagining a future without it would be quite challenging. This is why going forward, there is always going to be a discussion about its impact and how it will change as time comes.

Data is something which humans have been able to collect very efficiently over the past few decades. In recent times, the collection process and speeds have ramped up significantly. This also means that, in the world of analytics, anything and everything will have correlations. Here are some ways data will impact us:

  • Transparency: With more and more amounts of data being made available to the public, it is only a matter of time before we use it for every single task in and around the house. Today the insights provided by these numbers and metrics can only be picked up by data scientists, but the future is not too far away when even the common man would be able to infer from the said data. Its widespread adoption for all spheres of industry and business will become even more rapid as time progresses.
  • Marketing: There will be an increased personalization of marketing. As data flows, it allows companies to select and narrow audiences. With an increase in the sheer numbers and information, it would be a matter of time before marketing strategies will become highly targeted and become personal. This also might seem like an invasion of privacy, and as things go about, there will be solutions which address this issue as it arises.
  • Collaborative Vertical Solutions: As we head into the imagination and digital age, there will be an increase in digital transformation. Collaborative tools will improve through the sheer insight that data can provide. Templates, workflows, and platforms such as Salesforce Service Cloud specifically created for highly regulated industries such as finance and healthcare can contribute well to the success of businesses in a world that is connected.
  • Proactive customer service or reactive: This dynamic change comes as a result of the influx of information through analytics. Things such as connected devices, AI and more; companies and businesses can respond and resolve problems at the origin. This can be done without the consumer even acknowledging the issue. The impact it can have in consumer satisfaction is simply unparalleled.
  • Responsible AI: Ethics and values are all clauses which are under intense scrutiny when it comes to artificial intelligence. There is a question of accountability when it comes to AI creation and usage. There is an onus on the current developers and data scientists to create AI which is responsible. There is forced accountability being put on developers, thus there is an assurance that systems created henceforth will be responsible.

These are just small glimpses into what the future holds for data analytics and AI.

Posted in Artificial Intelligence, Sales Cloud, Salesforce AI, Salesforce cloud Implementation, Salesforce Einstein, Service Cloud.

What’s behind the Virtual Machines?

Are Virtual machines making our world more virtual?

These days virtual machines are running everywhere on the internet, from Microservices to big modules of code running on these virtual machines. We might not know the difference between an application running on a single server or multiple parts running of the same application running on multiple instances of virtual machines, that’s the best part about virtual machines. We might not get the difference, but they will make us get the most of our hardware resources.
Virtual machine is hardware level virtualization, a VM provides a real computer emulation and are implemented using software emulation programs. The end user gets the same experience of an operating system hosted on physical hardware with a virtual machine running on a machine. Virtual machines use the hardware more efficiently and increases the productivity than a single OS running on a dedicated hardware. Multiple VM’s running on the same hardware can perform different jobs at the same time can effectively improve resource utilization.

A virtual machine monitor (VMM) or a Hypervisor is a program that runs on a machine and helps the host in creating multiple virtual machines that can be run simultaneously, pooling all the resources of the host machine and sharing among the virtual machines. A Hypervisor can manage multiple instances of different types of operating systems like MacOS, Linux or Windows, running on multiple instances in a single physical hardware all at the same time. Hypervisor will manage the distribution of CPU, memory, bandwidth or disk space among those instances. Regardless of the type of hypervisors, virtual machines and the guest operating system will work without any difference.

There are two types of Hypervisors  as listed below: Continue reading

Posted in Uncategorized.

Salesforce Deployment Tools

A typical development process requires building, testing, and staging before releasing to a production environment. During this development cycle, one might migrate many times, either to keep development organizations in sync or to move changes through development organizations toward production and this is what we call Salesforce deployment.

Salesforce deployment is the migration of metadata from one Salesforce organization to another. If you are looking to enhance your Salesforce DevOps (Continuous Integration and Continuous Deployments) practices, this blog could get you started with the basics.

There are number of deployment tools available each having its own pros and cons. Some of them are listed below:

Change sets

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Posted in apex develeopment, Apex Development, force.com app development, salesforce development, Salesforce DevOps, salesforce integration, sfdc, Uncategorized. Tagged with , , , , .

Is Race Condition a myth in Salesforce?

Since the introduction of the concept of multi-threading, there has been a drastic change in the way we code. Now multiple threads run in parallel, hence many tasks can be performed at the same time.

Salesforce too adhered to this concept taking a step forward in its endeavor and provided a multi-threaded environment.

But everything has its pros and cons and so did parallelism. Though it completely changed the way programs are executed but brought with it a new concurrency bug what we call as race condition.

When does it actually occur?

Race condition occurs when two thread operate on same object without proper synchronization and there operation interleaves on each other. Continue reading

Posted in Apex Development, force.com app development, Learn Salesforce, Salesforce, salesforce certified developer. Tagged with , , .

Predictive Analytics

The success of any organization depends on its vision and its ability to shape the future course of action with unmatched accuracy and timeliness. Wouldn’t it be great if this prediction part is made efficient, easy and streamlined for your employees which could ultimately lead to better fortunes!!

Predictive Analytics is one such technique that holds the potential to rise your business up-ahead from the market competition.  Continue reading

Posted in Artificial Intelligence, Machine Learning. Tagged with , , , .

Machine Learning with Python

Machine Learning and Artificial Intelligence are considered as an integral part of the future technologies.

Artificial Intelligence is an area focused on developing intelligent machines that work and react like humans. To achieve this Artificial Intelligence considers all the traits that can help achieve the feat, these traits include perception, learning and planning. Machine learning on the other hand focuses on development of programs in such a way that systems can access data and use it to learn for themselves Artificial Intelligence focuses on making machines smart i.e. react as the situation demands whereas machine learning is based on providing machines access to data, making them learn themselves which makes their decisions learnt rather than smart.

For purview of our topic lets focus on Machine Learning now. Continue reading

Posted in Artificial Intelligence, Machine Learning, Salesforce AI, Salesforce Machine Learning. Tagged with , , , .

Machine Learning vs. Artificial Intelligence-The identical twins or are they really?

Since you are reading this, I assume you are aware of, or at least have heard about Machine Learning and Artificial Intelligence. Being two of the hottest buzzwords in the industry right now, these are often used interchangeably leading to some confusion. However, these two have different meanings and applications. The two terms are very strongly related though, as they share a containership relationship between them where the former is a subset of the later. Lets dive deep into these topics and try to find the reason for this confusion and related solutions.

Why this confusion?

The main culprit behind this confusion is the interchangeable use of these two terms and the limited knowledge of the subject among the developer as well as user community. Artificial intelligence is heavily dependent on machine learning,

Machine Learning and AI confusion

Machine Learning and AI confusion

which has led to the perception that both terms refer to the same thing. This confusion has spread like wildfire in the industry and only people who are experts in this field, know the clear distinction among these terms.

Artificial Intelligence-The Big Brother

Artificial Intelligence is the intelligence demonstrated by machines which emulates a human like thinking and behavior, allowing them to make their own decisions in real life situations. Going by the computer science definition, AI is referred to as the study of intelligent agents, which are devices that perceive their environment and take actions accordingly in order to maximum fulfillment of their goals. These agents mimic certain cognitive functions, which humans relate with the human mind, like problem solving and learning. AI, traditionally, attempts to solve problems such as Reasoning, Knowledge Representation, Learning, Planning, Natural Language Processing etc. Generating an intelligent agent which can think like humans is the long-term goal since it makes use of all the former techniques mentioned.   Continue reading

Posted in Artificial Intelligence, Machine Learning, Salesforce AI, Salesforce Einstein, Salesforce Machine Learning. Tagged with , , , .