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  NEW DELHI: The affordable hotel space has a large number of products but lacks inconsistency of experience. The Bloom brand is changing things in the affordable hotel space with its innovative strategy. It has already launched Bloom Hotels in Delhi, Bengaluru and Goa. To maintain quality Bloom plans to open no more than four hotels a year and is expanding to tier 2 markets including Ahmedabad, Pune and Kochi. In an interaction, Tom Welbury, vice president, strategy,  Bloom Hotel   Group discusses  ..

  The Delhi-based hotel group   Bloom Rooms   has quietly opened its second property a stone's throw from the surging tumult of the city's main railway station and the fading Georgian facades of its business district. An oasis of natural light, minimalist lines and buttercup hues wrapped up in an attractive Art Deco package, the hotel features rooms with superior ergonomics and bespoke furnishings designed by Amaury Watine, Ultra. We love the multifunctional wall panel in each room, the Grohe rain showers and the Gilchrist and Soames amenities complimentary to every guest's stay. Read more:  https://www.wallpaper.com/travel/designers-reinvent-low-cost-travel-in-a-new-crop-of-hotels-and-hostels . 

The  Bloom Hotel  Group was conceptualized in conjunction with several industry experts ranging from university professors to leading architects. Its mission over the past 5 years has been to revolutionize the affordable hotel space with an outstanding product. Today this product has been widely recognized as one of Asia’s leading mid-market hotel brands and has had a very successful start in India with launches in Delhi  Bengaluru and Goa. Each hotel has quickly become a ranking leader on Tripadvisor and other qualitative sites with various recognitions and awards from the wider industry. Read more:  http://www.businessworld.in/article/Bloom-Takes-Aim-at-100-Hotels/17-01-2018-137564 . 

  We’d like to welcome you to a new series of posts on our blog. We’ll break down the fundamental concepts of Machine Learning (ML) and Artificial intelligence (AI) in non-technical terms, and into bite-sized content. You’ll grasp key concepts faster and get a feel of the underlying mechanics. And with as little math as possible.. This is going to be a fun ride. Machine Learning  is really the verb in this process. How do we expect our AIs to learn? From data, of course, just like we do, absorbing the stimuli and from the environments around us. Somehow we must make machines gain the ability to think and perform actions based on their past experiences (i.e. the data fed in).  So, how do machines learn from data?? If you are a programmer, you might already be trying to decipher the difference between traditional programming (TP) and machine learning. Both of them are designed by humans to solve problems using computing power. In TP, we provide the system wit...

  “Our algorithms find similar patterns of words and phrases across the content submitted by different students and inform us if such matches are high. Pattern Detection, Sir! The program found out the assignments submitted by these four students are very similar. We looked at it and confirmed what the machine found.” Well, this brings us to the next category of  Machine Learning  algorithms –  “Unsupervised Learning-based Algorithms” . Unlike supervised algorithms, in this case, “labelled” data is not required to train the algorithm i.e. a supervisor is not needed. For example, the text from the assignments was the only data given to the plagiarism detector. No labels. The unsupervised algorithm in play over here employs a clustering technique. Yes, yes. It does exactly what you are thinking - groups together objects which are similar to each other (and less similar to other data). So, the algorithm used by the school automatically puts all four assignments under on...