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How to Choose Your Corporate Training Partner

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The pace at which technology is evolving today can be challenging to cope up with at times even for the biggest companies. The same holds true for technology experts who are in a regular struggle to not just stand out in a hyper-competitive market but also stave off obsolescence by constantly upskilling themselves. It is where CorporateTraining in Data Analytics comes in. It’s a practical solution designed for present-day employers and employees. There are two significant advantages that corporate training in analytics unlocks: Increase in productivity Training present employees in new skills are more effective and practical than hiring new employees with those skills. The former understand the company better and thus will lead to increased productivity. Increase in loyalty One of the primary objectives of most HR departments today is to reduce employee attrition. Upskilling through training is an excellent way to do that since it shows employees that thei
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Building A Rock Star Data Science Team

Organizations today need to do a lot more than just acknowledging big data. Today, they need to make data and analytics an integral part of their business. Obviously, this will need building a quality data science team to handle the data and analytics for the organization. Choosing the right team members can be difficult, primarily because the field is new and most companies are still trying to identify exactly what a good data scientist should be able to do. The following information should help to make the process simpler. The Right People You will need to have data scientists who can work on massive datasets and who know the theory behind the science. Moreover, they should be capable of building predictive models. Data software developers and Data Engineers are significant, too. They need to understand the infrastructure, architecture, and distributed programming. Some of the other positions to fill in a data science team consist of the data platform administrator, da
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Location: Bengaluru, Karnataka, India
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How to Start Incorporating Machine Learning in Enterprises

From automation to smart office gadgets and chatbots, artificial intelligence has today become increasingly prominent in the workplace. As smaller organizations see their major competitors taking advantage of AI and machine learning, they've understood they require to jump on the bandwagon to keep up -- but they might be thinking how they'll be able to afford it. Luckily for organizations on a budget, you don't require to break the bank to begin integrating AI and machine learning (ML) into your operations. By initializing on a smaller scale with ready-made solutions, you can leverage the power of AI and ML, and enhance your business performance. Here are the few ways through which you can incorporate Machine Learning in your enterprise. 1.Leverage Existing Platforms Creating your own AI is quite complex and expensive- but it doesn’t mean it can’t benefit you. Several big organizations such as Facebook and Google have open-sourced their own AI endeavors, making it pos
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Location: Bengaluru, Karnataka, India
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Common Mistakes That Can Derail Your Team’s Predictive Analytics Efforts

With high demand for data scientists and the high salaries that they draw, it’s often not practical for organizations to keep them on staff.   Instead, various organizations work to ramp up their prevailing staff’s analytics skills, comprising predictive analytics. But companies need to advance with caution. Predictive analytics is particularly easy to get wrong. Here are the first few “don’ts” your team needs to learn, and their parallel cures. 1. Don’t Fall for Buzzwords — Explain Your Objective Data Science doesn’t essentially refer to any specific technology, method, or value proposition. Rather, it indicates a culture — one of smart people doing creative things to discover value in their data. It’s essential for everyone to keep this on the top of the mind when learning to work with data. Under the broad umbrella of data science sits predictive analytics, which provides the most actionable win you can draw from data. In a nutshell, predictive analytics is technology t
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Machine Learning Applications: The Dawn of Machine Learning in the Enterprise

Modern organizations realise the tremendous potential of machine learning and AI but at the same time are struggling to draw valuable insights from the massive amount of data they generate and save every day. Machine learning, the field of computational science centred on pattern recognition is playing a very important role in our daily lives. We can find everyday examples of machine learning in action right from suggestions offered by Amazon and Netflix, pre-approved credit card offers, saving and investment offers from your bank or for that matter Apple’s Siri, machine learning continues to make our lives simple and convenient. One thing in common among all these is the creation of predictive intelligence based on historical trends. To put in simple terms, machine learning facilitates complex problem solving by creating accurate predictions without the need for complex computer programming. Machine Learning’s strategic role in the modern organization In enterprise business
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Location: Bengaluru, Karnataka, India
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How to Structure a Data Science Team: Key Models and Roles to Consider

People or organizations carefully following the trends and expert opinions in data science and predictive analysts will know that it is best to start from machine learning.   Experts often advise that it is best to take one step at a time. Start with the proverbial’ low hanging fruit’ and then move on to bigger and more complex operations as you gain relevant experience along the way. Machine-learning-as-a-service (MLaaS) platform Current trends and indications clearly point towards the value of machine-learning-as-a-service (MLaaS) platforms. Machine Learning is fast turning into a commodity thus making it well within the reach and resources of small and mid size organizations.   Leading vendors such as Microsoft, Amazon and Google provide Application Process Interfaces (APIs) and platforms to run basic ML operations without the elaborate need to invest in building complex infrastructure and hire professionals with deep knowledge and expertise in data analytics. It is a pru
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Location: Bengaluru, Karnataka, India
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Learn How to Improve Employees Experience by Cross-Training

No matter what sort of business you have, your employees may become bored and stale doing the same routine tasks every single day. In order to foster an engaged workforce or set up employees for success, you may consider offering opportunities to cross-train your employees that will broaden their horizons and make them a valuable asset to the organization. Cross-training is not only helpful in improving productivity, but it also allows employees to develop new skills in a specific field that will heighten their professional development and career growth. Here are the reasons to consider cross-training employees: 1. Maintain the same productivity even when employees are absent.   There are certain things that can’t be avoided, such as family emergency or a sudden injury. But when one employee is absent for a couple of days, the other members can easily cover up for that absence if they are well-versed with that employee’s key tasks.   For short-term absences, cross-training c
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Location: Bengaluru, Karnataka, India
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