DiGiSPICE: Industry Monitoring 23 to 25 March 2019
- Priyanka Kanodia
- Mar 27, 2019
- 9 min read
DiGiSPICE
Competitors
The RCom-Ericsson case is a one-off in banking sector's NPA crisis
Publication- Livemint
Edition- Online
Date- 24 March, 2019
Indian banks are famous for dragging their feet in taking decisions over soured loans. In the past, they had the full support of their regulator, the Reserve Bank of India (RBI), although that backing has waned in recent years. Still, old habits die hard. State Bank of India chairman Rajnish Kumar said last week that lenders to Jet Airways (India) Ltdwould make every effort to keep the airline from slipping into bankruptcy, as it would further erode the company’s value. Such an approach is fraught with risks.
What’s more, this was soon after an operational creditor, Ericsson AB, won a case in the Supreme Court that made Reliance Communications Ltd (RCom) pay it nearly half of what it was owed. This left banks red-faced, as Ericsson, an unsecured creditor, moved from being among the last in the queue for recovery, to first.
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ZTE, Huawei mull local manufacturing, Ericsson keen on expansion
Publication- The Economic Times
Edition- Online
Date- 25 March, 2019
: Chinese telecom equipment makers ZTE and Huawei are considering manufacturing in India to avoid paying a 20% basic customs duty imposed by the government last year. Sweden’s Ericsson plans to invest more in its local facilities to increase exports. “We are carefully looking at the feasibility of local manufacturing. This is also a subset of our discussions with the Indian authorities,” Xiao Ming, President, ZTE Global Sales, told ET. “This is still in very early stages. We are seeing the Indian government’s ambitions which are positive, that’s why we are seriously considering mobile manufacturing.”
The executive said if the company can gain a cost advantage through incentives, then it would “love to shift many of its factories to India.” Huawei is working on a plan to resume local manufacturing of telecom gear and enterprise products, having stopped production from its special economic zone last year due to low demand and other challenges. The company caters to its customers in India through imports.
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Industry News
Funding in Indian startups this week (18 Mar-23 Mar)
Publication- ENTrackr
Edition- Online
Date- 23 March, 2019
This week 13 Indian startups received funding, of which 12 received a total sum of about $466 million. Among them, Ola raised the highest funding of about $300 million followed by PhonePe which raised about $107.6 million.
Meanwhile, funding for 1 of the total funded startups remained undisclosed.
Halaplay: Daily fantasy sports (DFS) startup Halaplay has picked up $5.8 million series A round led by Nazara Technologies and casino gaming company Delta Corp.
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AFFLE: FORGING DIGITAL TRANSFORMATION WITH AI-POWERED CONSUMER ENGAGEMENT PLATFORM
Publication- Analytics Insight
Edition- Online
Date- 25 March, 2019
In this rapidly converging digital age, everything has become digitally accessible for users. From food to grocery, clothes to furniture, almost every commodity is available online via apps and their marketing which has nurtured the competition between online market providers. In rush of this new ecosystem, to make the brand/company at the forefront, one has to flow with the wave of digital transformation. A company which is remarkably accelerating the app marketing solutions and upgrades customer’s media experiences by driving unmatched digital innovation is Affle.
A Comprehensive Product Line
Affle is a global technology business that provides end-to-end solutions for App Marketing. The company has two business segments i.e. Consumer Platform & Enterprise Platform. Affle’s Consumer Platform comprises of proprietary consumer intelligence platform that delivers consumer acquisitions, engagements, and transactions through relevant mobile advertising. The platform utilizes user-intent indicators derived from behavioral signals, marketing attribution, and transactional data which are received in real-time and accumulated over time that increases the ability to predict user’s likely interests. It also enhances customer’s ad content with rich media experiences, interactive videos, games and augmented reality. This paired with data-centric scientific targeting and retargeting enables a higher likelihood of consumer engagement, such as downloading an app or completing a transaction.
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Smart City projects on Modi govt's agenda to woo middle class
Publication- Business Standard
Edition- Online
Date- 23 March, 2019
The Narendra Modi-led NDA government is all set to showcase the progress of its 100 smart cities initiative to woo the urban middle class this election season. According to sources, the Centre would be talking about the work that has been done as well as the projects that are being planned in these 100 cities. During its campaigns, the party will explain how cities will get transformed over the next five years. Many of the brownfield projects are slated to start taking off after the polls.
“The smart cities initiative is primarily aimed at the aspirational middle class. They want things like connected living, smart traffic management and waste disposal systems, among other things. The government will showcase how, during their term, they started work on all these projects and in the next term they will ensure that the initiative gets completed,” said a source close to the government.
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How To Apply Machine Learning And Big Data To Event Processing
Publication- Analytics India Magazine
Edition- Online
Date- 23 March, 2019
The rise of merging technologies is leading the globe towards a data-centric platform where Big Data is gaining more and more prominence. With the growth of cloud and Internet of Things(IoT), large amounts of data is stored every day in platforms like Hadoop. That is why the much-hyped big data frameworks are leveraged with machine learning frameworks to find meaningful patterns from these data.
Understanding The Term
Event processing is a methodology of tracking and analysing the stream of data about the events in order to extract meaningful insights into the events happening in the real world. However, there may be one hurdle in such context and that is to turn the insights as well as patterns promptly into action while concocting operational market data in real time. It is also known as “fast data” approach which automates decisions and initiates actions in real-time. It basically embeds patterns which are obtained from analysing previous data into future transactions in real time.
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FROM IOT TO MACHINE LEARNING, LATEST DATA TRENDS ENVELOPING TECHNOLOGY LANDSCAPE
Publication- Analytics Insight
Edition- Online
Date- 23 March, 2019
In such a disruptive atmosphere, it becomes quite baffling for enterprises to decide which tool will earn them more profit and yield potential results in the coming years. With advancement in data, a volume of choices is available for professionals to delve deep into.
With the involvement of Big Data, AI/ML in the world of advanced analytics, novel mechanisms provide a unified platform for next-gen innovative disruption. In this competitive and fast environment, it becomes crucial for businesses to end up with appropriate decisions for better navigation of their services in accelerating complex data planet.
ML and other technologies related developments form O’Reilly Media’s Ben Lorica’s end foresees some of the data trends which are expected to be on every business’s radar in the near future.
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THE IMPACT OF BIG DATA ON DIFFERENT INDUSTRIES
Publication- Analytics Insight
Edition- Online
Date- 24 March, 2019
The measure of data made is developing quickly and it is predicted that in 2020 we will make at least 40 trillion gigabytes; 40% of this data is relied upon to originate from sensors or machine-to-machine information. The majority of this information will fundamentally affect worldwide enterprises, from making custom-made medicines to lessening our worldwide carbon footprint.
The Indian IT part is synchronizing itself with the developing demand and is endeavoring to introduce unrest by hiring more staff to exploit the circumstance. The Indian government is additionally supporting the IT sector by presenting a few activities. The government has marked the Indian IT division as a standout amongst the best performing service industry for which it is continually advancing plans for further development. So, there is one strong innovation that can possibly have an extraordinary impact on the changing situation – Big Data Analytics. Having said that, it has impacted various industries. Let’s have a look at how Big Data has impacted important industries.
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Stock market and data analytics: How machine learning helps to reduce trading costs
Publication- The Financial Express
Edition- Online
Date- 25 March, 2019
Technology is scaling at an exponential rate and today we are processing vast loads of data if numbers are to be believed. A recent report reveals that the total data existing in the world will grow at a CAGR of 61% to 175 zettabytes by 2025 from 33 zettabytes in 2018. These numbers are huge!
Today, Machine Learning and Data Analytics are making trading much more efficient. Together, they complement each other and act as catalysts towards improved ability to identify opportunities and reduce trading costs. Leveraging data in trading at present comes mostly in two flavours. During the research phase, the ability to analyze and learn effectively from the vast amount of data gives the strategies an edge. Here the analysis is mostly exploratory and speed is important but not critical. During the execution phase, these same tools can be used to gain the ability to quickly react to changing market conditions. Here speed is critical to success.
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Unitus Ventures bets on blockchain startup New Street Technologies
Publication- VCCircle
Edition- Online
Date- 25 March, 2019
New Street Technologies Pvt. Ltd, which builds and operates blockchain-enabled platforms for institutional clients in the financial services segment, has raised $2 million (Rs 13.8 crore at current exchange rates) in a seed funding round led by impact investment firm Unitus Ventures.
The Bengaluru-based technology company said in a statement that other investors who participated in the round included Mohit Davar, chairman of trade body International Association of Money Transfer Networks, and other business leaders in the financial services sector. New Street said it would use the fresh capital to expand its business to other geographies.
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AgEagle introduces ParkView Aerial Imagery and Data Analytics Solution for Sustainability of America’s City Parks
Publication- Geospatial World
Edition- Online
Date- 25 March, 2019
AgEagle Aerial Systems, Inc. an industry leading provider of advanced drone imagery-based data collection and analytics solutions for the sustainable agriculture and precision farming markets, today announced the formal market introduction of ParkView, a proprietary aerial imagery and data analytics platform designed specifically for assessing and supporting sustainability initiatives involving municipal, state and federal public parks and recreation areas.
The Company further announced that it has won its first ParkView customer with the signing of Denver Parks and Recreation (DPR) in Denver, Colorado. Leveraging the underlying imaging technology and robust analytics capabilities of AgEagle’s FarmLens™ platform, ParkView will empower DPR to utilize aerial imagery and sensor data to better inform vegetative maintenance and natural resource preservation for its green infrastructure, comprising more than 6,000 acres of public green space within the city limits.
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Blockchain And Cryptocurrency
Publication- Silicon India
Edition- Online
Date- 25 March, 2019
The transaction is broadcasted in the network only if the miners confirm it. Once the transaction gets confirmed after a specific period of time, it will not be forgeable and will be known by the whole network. The transaction once get confirmed, it will not get reversed, and it will become a part of a blockchain. That is the reason why confirmation is the most important part of cryptocurrencies.
There are miners in the network who confirm the network. Once the miners confirm the transaction,every node adds them in its own database which is the part of the Blockchain. Satoshi declared one rule that miners will get qualify for this task after investing some work in their computers. They have to find a product hash of cryptographic function which will connect the new block with its predecessor.
It is known as Proof-of-Work which is based on the SHA 256 Hash algorithm in Bitcoin. You only need to remember that the SHA 256 Hash algorithm is the basis of the cryptologic puzzle which the miners complete to solve. Once the miner solves it, he can add it to the blockchain. Well, miners can create bitcoins after solving the cryptologic puzzle only.You can find more about this on BTC Loophole.
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Why I believe the future of work is on the blockchain
Publication- Qrius
Edition- Online
Date- 25 March, 2019
Mobile and internet technologies have made it easy for people across the world to successfully work on and get paid for projects, regardless of their time zone, currency, and location. For many, freelance work is an appealing alternative to the restrictive, office-bound, 9-to-5 model, and the macro trend toward flexible and geographically autonomous work is only accelerating. “The future of work” is definitely upon us — but this increasingly flexible employment model makes the need for better systems all the more urgent.
Our current 1.0 systems haven’t innovated in years: they are characterized by high fees and stagnant features, and they perpetuate larger market misconceptions about the nature of freelance work. It’s time we create an ecosystem that connects people who need high quality work with the global talent base that is waiting to fulfill.
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China is Leading the World in Blockchain and AI Patents [Sponsored]
Publication- Tech Tree
Edition- Online
Date- 25 March, 2019
The boom in patents in these cutting-edge technologies could be attributed to the increased investment in Chinese technology companies. The following data was studied by the London-based international accounting and consultancy network UHY.
In 2017, blockchain patent filings from China made up 32% of all blockchain patents filed globally. This translates to 99 patents out of the 314 total filed with the World Intellectual Property Organization (WIPO). The United States was in second place with 92 (29%) blockchain patents, and Australia rounded out the top three with 40 (13%) blockchain patents.
Artificial Intelligence patents filed by China at WIPO in 2017 amounted to a whopping 473, which is 31% of all AI-related patents filed during that timeframe. The United States again came in second place, but was far behind — the U.S. filed 65 AI patents (10%). South Korea was third in the AI patent race, contributing 41 (6%) filed patents.
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