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Sakshi Bhalla

Talk of blockchain technology is everywhere, it seems — but what is it, and what does it do?   1. Don’t call it “the” blockchain The first thing to know about the blockchain is, there isn’t one: there are many. Blockchains are distributed, tamper-proof public ledgers of transactions. The most well-known is the record of
The-8-Things-a-Chatbot-needs-to-be-called-Intelligent As the internet has grown so has folks’ tendency to chat instead of talk. Whether it’s booking an appointment at your local paediatrician or asking your boyfriend if he wants to go out for some pasta, people like texting. This is what chatbots want to capitalize on – People’s aversion to talking on the phone. Companies all
You don’t need us to tell you that the data world – and everything it touches, which is, like, everything – is changing rapidly. These trends are driving the opportunities that will fuel your career adventure over these next few years. At the heart of these trends is a massive wave of data being generated
Data Quality in Data Science In this era when Data Science and AI are evolving quickly. Critical business decisions are being taken and strategies being built on the output from such algorithms, ensuring their efficacy becomes extremely important. When the majority of the time of any data science project is spent in data preprocessing it becomes extremely important to have
Data Analytics, no pain, no gain “Analytics is a journey and not a destination!! It takes considerable effort to frame that journey and execute it with a sense of purpose. You will encounter stumbling blocks that may threaten your initiative but you need to find a way out and keep marching ahead.”   How is it like to build a data
Organizations around the world strive to achieve profitability in their business. To become more profitable, it is essential to satisfy the needs of customers. But, when variations exist between individual customers how they can effectively do that. The answer is- by recognizing these differences and differentiating the customers into different segments. But how do organizations
Business leaders and stakeholders often think about right time to start looking at analytics and sometimes fall shy due to concerns surrounding data availability, quality of data, lack of resources and value of the overall exercise. We have been asked quite a few questions ourselves in last couple of months by decision makers across Insurance
Big Data and Machine Learning Compensation is one of the key culture-definers for any organization. Every organization strives to decide the best compensation for its employees during talent acquisition as well as internal appraisal cycle. This is crucial, because if the employee is underpaid then it may lead to attrition and in the case of overpaid it may impact the
HRM teams put constant efforts to improve their hiring process to bring in the best talent into the organisation. Even when hiring managers focus on behavioural and cultural-fit aspects of any candidate along with impressive experience and skill sets, many times the HR teams are unable to evaluate the long-term success of a future candidate,