Artificial Intelligence

  We have seen how Data Science solutions are being applied across various industries. Data Science and its applications are widely used. In this week’s guide, let us see how data science will help businesses in a post-covid world, and how analytics is reshaping the education industry during remote learning. Let’s get started. 5 Ways Data Science will ensure business continuity in the Post-COVID world Due to the initial lockdown during COVID-19, businesses are left struggling to carry out their day-to-day operations smoothly. The pandemic came along with pay-cuts, layoffs, and even led to the closing of some businesses. But through these difficult times, one thing we have learnt is that a digital transition is essential for businesses to survive. And that data science is an important factor in helping businesses in the post-covid world. As the need for remote working has greatly increased, people are now looking to incorporate more data science models, and analytics tools that can ...

  5 Steps to Growing Your Data Science Skills Quickly Data Science is one of the hottest jobs in the tech industry and a very lucrative career option for those who want to step into the world of Big Data. A data scientist is expected to be a ‘jack of all trades,’ be constantly learning, and evolving in their craft. Organizations are eagerly scouting for talented recruits and jobs are expected to grow by up to 16% from 2018 to 2028 according to the Bureau of Labor Statistics (BLS). Data scientists use numbers and information to make real-world decisions and translate business requirements.  It’s clear there is a huge demand for professionals but the problem is finding them. If you’re trying to improve your data scientist skills and stand out from the competition, here is your roadmap to getting better fast. Trivia: Did you know that the median salary of a data scientist in the U.S. is $122,840? Some of the highest earning professionals make more than $200,000 a year d...

Artificial Intelligence (AI) and Automation are about to disrupt every industry and change the way we work forever. While decision makers in the past spent a significant amount of time on administrative tasks such as coordinating, scheduling, and making short-term data driven decisions, AI will soon be able to take over these and other complex tasks. Managers and leaders will now have to understand the technical role of AI and fill in the gaps in areas it is a long way from developing, interpersonal and soft skills.  As automation takes over decision-making on a daily basis, the next generation of managers with AI Leadership skills will have to take up higher-level responsibilities involving the human aspects of decision making such as innovative thinking, employee development, and bridging the gap between technology and people. It also means that business leaders have much to gain with the advent of AI as found by an Infosys study. According to the report, 90% of th...

Data Science Engineering  and Analytics have grown to be one of the most widely used technologies in recent times. Newer advancements are taking place regularly. In this week’s guide, let us take a look at thirty-one data science and analytics predictions for the year 2021, given by twenty-four experts. We will also read about the increasing effectiveness of data analytics in a business.  31 Data Science and Analytics Predictions from 24 Experts for 2021 For the second annual solutions review known as #BIInsightJam, solutions review called the industry’s best experts to share their insights and predictions for the upcoming year. All of the experts who have been featured here are people who represent top solution providers within the data science industry. Out of the dozens of predictions received, these have been selected based on relevance and whether they will add business value, whether they can be actionable, and how they will impact various vertices, organisations. B...

  Employees at Google spent many months honing an algorithm designed to steer an unmanned helium balloon all the way from Puerto Rico to Peru. But the balloon, controlled by its machine mind, kept veering off course. Google’s now-defunct Project Loon venture, aimed to bring intern e t access to remote areas via the balloons. The team manually took control of the system and put it back on track. It was only later that they realised what was happening. Unexpectedly, the artificial intelligence (AI) onboard the balloon had learned to recreate an ancient sailing technique first developed by humans centuries ago. “Tacking” involves steering a vessel into the wind and then angling outward again so that progress in a zig-zag, roughly in the desired direction, can still be made. Know more about  ai f or business leaders course Under unfavourable weather conditions, the self-flying balloons had learned to tack all by themselves. The fact they had done this, unprompted, surprised everyo...

  Introduction – Importance of Data “Data is the new oil.” Today data is everywhere in every field. Whether you are a data scientist, marketer, businessman, data analyst, researcher, or you are in any other profession, you need to play or experiment with raw or structured data. Data has become an important asset for an organization. Now business runs on data, most of the company’s uses data for their insights to create and launch campaigns, design strategies, launch products, and services or try out different things. According to a report, today, at least   2.5 quintillion bytes of data are produced per day. The word “Data” arises from the Latin word “Datum,” which means “something given.” This data is so important for us that it becomes important to handle and store it properly, without any error. While working on these data, it is important to know the class of data to process them and get the right results. There are two classes of data: Qualitative and Quantitative data, w...

  Digital transformation refers to the process of adopting digital technology in a business. Digital t r ansformation not only extends to new businesses but is also a part of the modification of existing business processes, culture, and client experience. Going digital is the need of the hour to meet the ever-changing market requirements. Let’s try to understand digital transformation by taking these examples. Take an instance of bringing artificial intelligence to the place of work in a service organization. This one is a very prominent example of digital transformation. Bots are deployed by many organisations to answer repetitive and simple client queries, and this forms another popular example of transforming business using digital means. Digital transformation is everywhere. Organisations have accepted that being digital is a must. The greater focus of the companies is now on how to go digital. Know more about  Digital Marketing Courses Though digital transformation is bei...