How AI is Helping Organizations Reimagine Business Intelligence

  A 2016 Narrative Science survey reports that of all the businesses that have an innovation strategy in place, 61% say that they are already using AI (Artificial Intelligence) to identify opportunities in data that would otherwise be missed. This is significant and points to one key fact: that businesses are finally overcoming the initial challenging phase of organizing data and testing an algorithm with this data set for accuracy. This also indicates that AI is gaining momentum and companies are rapidly engaging tools that better automate business intelligence (BI) and analytics processes. Businesses are using AI to process vast reams of data and identify broader trends and get insights faster. Also it is helping them make quicker and more informed decisions that can put them way ahead than their competitors.

AI for Business Reporting& Intelligence

The Problem:
As new-age enterprises go increasingly digital, their operations, decisions and performance are all ruled by a single metric – data. And while most businesses have been investing greatly in data analytics, there have been some fundamental hurdles that business leaders continue to face viz.
– Gathering data across different touchpoints throughout the business cycle. Business executives need to spend precious time and resources to get relevant disparate data from internal and external sources.
– Teams need to undertake great efforts in undertaking basic data analysis which causes delays, making the data irrelevant with little scope for predictive analytics and value addition.
– A lack of reporting mechanism that creates a seamless user experience and enable business leaders to use the data to drive real time action.

The Solution: AI, Machine Learning & NLP powered Solutions
AI has emerged as the perfect solution to counter all these challenges. New-age AI and Machine Learning solutions gather data across different devices (mobiles, desktops etc.), transactions, sensors and equipment at production plants. So, for example, if a company has field executives/sales staff on ground that use a mix of company-owned tablets, smartphones or other devices to record business leads and purchase orders, then all the data from these transactions can be automatically gathered, linked and analysed to spot key consumer trends or irregularities. Often, businesses use a multitude of apps/platforms like Salesforce, Facebook or Shopify to gain insight on their customers, sales or product inventory. AI-based tools can extract data from the various POS and online stores and convert this data into reports. The reports can help business owners to spot key business trends like product performance or customer preferences in real time and can be shared across different devices used by company executives spread across different geographies. AI-based platforms or solutions can help business owners and executives to get a uniform and analysed data view.
AI & Machine Learning are becoming especially critical in detecting unexpected or sudden variances in everyday business – be it transactions, product purchases or machine operations. Companies are calling upon AI solutions to alert them about a probable machine failure or an unusual spike in demand for a particular product. So, for example, if a factory owner has deployed an AI solution to track an assembly line then a sub-optimal production would be immediately reported and prompt the owner to take necessary action.

Predictive Analytics
The biggest advantage that AI-driven business intelligence solutions are delivering is in predicting probable outcomes based on available information. AI and machine learning are helping companies to predict what their customers would want, which products would they prefer, which clients are the most likely to turn into loan defaulters and so on. Even in machinery-driven manufacturing and heavy industries, machine learning systems are being increasingly used to track every physical equipment including machine tools, oil rigs, fleet trucks, cargo containers, commercial vehicles, train wagons and production plants. Artificial intelligence can draw from the sensors attached to these goods, process large volumes of data that each of these products transmit and provide critical insights like when would a machine likely face downtime or need repair.
The Mobiliya Report Genie leverages the power of Natural Language Processing (NLP) & AI to create analytical reports of the performance of thousands of engineers and hundreds of projects. With the impending launch of 5G connectivity, the performance is only going to increase exponentially with increase in speed and volume of data captured.

AI: The New-Age Work Partner
It is estimated that already, deep learning and machine learning systems are hitting a mark of 96% in interpreting data, which is the best that human business analysts can do. And we are still in the early days of these technologies. As the systems become well-oiled and process more and more data they would learn better which information is important and customize reports and dashboards accordingly. Thus, contrary to popular belief that AI would replace human executives, it can in fact assist them in presenting data in a much better way. The perfect working partner that professionals across departments can ask for.

Developer guide for migration from Java to Kotlin for Android

AN ARTICLE BY Anil Raavi (SOFTWARE ENGINEER, AUGMENTED REALITY, MOBILIYA)

Kotlin:  Overview and background

 Kotlin is a statically typed programming language for the JVM, Android and the browser. Its primary development is from a team of JetBrains programmers. Kotlin is being promoted by Google Android

Why use Kotlin for Android Development?

Concise: Drastically reduces the amount of boilerplate code we need to write

Safe: Avoid entire classes of errors such as null pointer exceptions

Inter-operable: Kotlin is 100% inter-operable with java. It allows to use all existing Android libraries in a Kotlin application, e.g. Dagger2, RxJava, Databinding etc.

Continue reading “Developer guide for migration from Java to Kotlin for Android”

ARKit: Getting Started (guide for AR developers)

AN ARTICLE BY SANKET PRABHU (SOFTWARE ENGINEER, AUGMENTED REALITY, MOBILIYA)

Apple is finally getting into augmented reality

Augmented Reality isn’t a new technology, but as our phones and tablets become more powerful, the limits to what is possible have started to melt away. With Apple jumping into AR, there are a few additional reasons to get excited. In WWDC-2017 show off ARKit, a platform which the company boasted was the “Largest AR platform in the world.”

In a pretty amazing demo, Apple highlighted the marker-less spatial awareness that ARKit has in a tabletop gaming title featuring an airship attack on an enemy outpost. ARKit has support for Unity, Unreal Engine, and SceneKit and will be coming to iPad and iPhone.

There are already a variety of third-party SDKs for AR development, such as ARToolKit, ARmedia, Vuforia, and Wikitude, in addition to Microsoft’s HoloLens SDK and Google’s Tango SDK. This year, Apple and Facebook have thrown their hats into the ring. In a bunch of SDK, there are lots of questions in my mind,

Continue reading “ARKit: Getting Started (guide for AR developers)”

ARKit: Overview and capability walk-through

AN ARTICLE BY SANKET PRABHU (SOFTWARE ENGINEER, AUGMENTED REALITY, MOBILIYA)

Apple’s new reality-bending developer platform

In an interview to The Independent ea

 

rlier this year, Cook said that “the smartphone is for everyone, we don’t have to think the iPhone is about a certain demographic, or country or vertical market: it’s for everyone. I think AR is that big, it’s huge. I get excited because of the things that could be done that could improve a lot of lives”.

At this year’s Worldwide Developers Conference (WWDC-2017), Apple announced their first augmented reality software development kit, ARKit AR-SDK and offers developers the chance to create digital content on top of real world scenery on iOS 11 for iPhone and iPad through what Apple refers to as “World Tracking”.

 

Apple Vice President Craig Federighi announced ARKit at 2017’s WWDC keynote. The project contains a developer toolset that it will make available to nearly instantaneously make the iPhone and iPad the largest AR platform in the world, according to the company.

Continue reading “ARKit: Overview and capability walk-through”

A Comprehensive Beginners Guide to Tensorflow

An article by Ashish Mokalkar (Software Engineer, IOT department, Mobiliya)

Hey Deep Learners/Dear Readers,

Recently, Deep Learning has become that hot girl in the class whom everyone wants to impress and show off their superiority to other classmates. And why not? Deep Learning has been able to give seemingly impossible breakthroughs over the past 3 years. May it be tech giants like Google, Amazon and Microsoft or start-ups like Niki.ai and Snapshopr, everyone is trying to harness the power of deep learning to prove their dominance in the AI industry. Google Trends also proves this by showing a steady increase in the search term “deep learning” over the past few years, with an even more noticeable uptick since late 2014. Continue reading “A Comprehensive Beginners Guide to Tensorflow”

Building Security into the Development Process

Every year, about $9.1 billion in potential online sales revenue is lost—all because shoppers are afraid of buying online, according to FirstData. While this figure may be upsetting for owners of ecommerce portals or other online businesses, what’s more distressing is that so many consumers are fearful that their personal or financial information is at-risk for online theft, fraud and data breaches. And they have every right to feel that way.

Continue reading “Building Security into the Development Process”

Deep Learning and the Future of Business

Featured article by Krish Kupathil, founder and CEO of Mobiliya

Artificial intelligence (AI) has been regarded as the stuff of science-fiction movies. From self-driving cars to image classification and face recognition, AI has transformed machines into self-thinkers, replete with human-like intelligence and reasoning. Deep learning, a subset of AI, has allowed for several practical applications of AI in our daily lives. Gaming has been one of the foremost areas where deep learning has made a huge impact: 2016 saw the defeat of South Korean Go master Lee Sedol by Google DeepMind’s AlphaGo program. Deep learning even promises to transform global businesses. It has already made a promising start in solving complex business needs and problems, which were otherwise beyond human capabilities. According to a Forrester research report, investment in AI will increase by 300 percent in 2017, a sign of things to come. Continue reading “Deep Learning and the Future of Business”

Fix It Faster, Save Lives: Augmented Reality for Medical Equipment

The last 15 years have seen a phenomenal change in the way we work, communicate, shop, explore and generally go about our everyday lives. And the technological transformation is far from over. The same technology that gave us the Googles, Facebooks, innumerable mobile apps and cloud platforms of the world is now set to save human lives. Continue reading “Fix It Faster, Save Lives: Augmented Reality for Medical Equipment”

Augmented Reality Set to Revolutionize Global Medical Education Methodologies

If you are a medical student, chances are your days are filled with reams of printed data explaining the fundamentals of surgery procedures or human anatomy and reliance on imagination or visualization skills to get the perfect understanding. However, what if instead of learning from a simple graphic of the human brain, students could actually see a 3-D form of the human brain that literally shows how the brain processes information and even walk around it to see bits of data flowing through the brain? Continue reading “Augmented Reality Set to Revolutionize Global Medical Education Methodologies”