Online Algorithm – Pagerank Tracking http://pagerank-tracking.com/ Tue, 13 Jul 2021 10:17:48 +0000 en-US hourly 1 https://wordpress.org/?v=5.7.2 https://pagerank-tracking.com/wp-content/uploads/2021/06/icon-1.png Online Algorithm – Pagerank Tracking http://pagerank-tracking.com/ 32 32 LimeStory Launches AI Storytelling Engine to North American Education Sector with Help from MCMK https://pagerank-tracking.com/limestory-launches-ai-storytelling-engine-to-north-american-education-sector-with-help-from-mcmk/ https://pagerank-tracking.com/limestory-launches-ai-storytelling-engine-to-north-american-education-sector-with-help-from-mcmk/#respond Tue, 13 Jul 2021 10:03:33 +0000 https://pagerank-tracking.com/limestory-launches-ai-storytelling-engine-to-north-american-education-sector-with-help-from-mcmk/ TORONTO (PRWEB) July 13, 2021 LimeHistory, the world’s leading AI-powered storytelling content and engagement engine, today announced its partnership with MCMK, a B2B marketing agency that strategically focuses on agile marketing playbooks for tech startups, private equity and venture capital firms, to showcase its storytelling engine and micro storytelling workflow to institutions in North American […]]]>

LimeHistory, the world’s leading AI-powered storytelling content and engagement engine, today announced its partnership with MCMK, a B2B marketing agency that strategically focuses on agile marketing playbooks for tech startups, private equity and venture capital firms, to showcase its storytelling engine and micro storytelling workflow to institutions in North American higher education. MCMK leads strategic marketing initiatives for LimeStory in North America.

In today’s fast-paced, overly automated and digitally driven society, the human element is often lacking and companies fail to build lasting relationships with their customers by sending repeat, disengaged and unengaged leads. qualified at their CRM cemetery. LimeStory disrupts the way colleges and universities interact with their audiences by guiding the storytelling process through its micro storytelling methodology and Natural Language Processing (NLP) algorithm. The LimeStory content and engagement engine creates two-way online dialogue using traditional storytelling techniques and advanced optimization tools. This allows marketers to structure all marketing strategy and content under one hub across all digital channels.

“LimeStory invented our micro storytelling workflow with Paul Smith, one of the world’s leading experts in business storytelling. It is proven to convert web visitors into customers. Our content and engagement engine drives content management and creates sincere and compelling marketing and lead generation campaigns, ”said Afik Bar Yoel, Founder and CEO of LimeStory. “We’re excited to bring our innovation to North America and help higher education institutions engage in more thoughtful ways with stakeholders and potential students. “

“Storytelling is the best vehicle humans have for building relationships. From a marketing standpoint, this is the most effective way to get qualified leads, ”said Melroy Coelho, Founder of MCMK and Strategic Marketing Advisor and Investor in LimeStory. “To survive, businesses must connect with their audiences by being accessible, tug at the hearts of customers and engage with them on a much deeper level than ever before. This is where LimeStory comes in and the results are truly amazing.

For more information, please visit limestory.io.

About LimeStory

Based in Tel Aviv, Israel, LimeStory is an AI storytelling content and engagement platform that stores marketing campaigns that touch us across all digital channels. Our micro storytelling workflow leaves a mark, speaks to customer emotions, and interacts with the decision-making part of our brain.

LimeStory’s proprietary algorithm is based on conversational marketing that generates inspiring stories. Through this digital storytelling, we are able to offer significant sales growth opportunities to our customers. Learn more at limestory.io.

About MCMK

MCMK is a Toronto-based marketing and consulting agency. We work with B2B tech start-ups, venture capital funds and private equity portfolio companies to scale their growth programs

MCMK provides a complete outsourced marketing service solution. Each member of our leadership team has over 15 years of experience managing world-class marketing teams at B2B technology companies around the world. With a proven methodology and framework for building brands and generating demand, tech startups can focus on what they do best: product and innovation. Learn more about http://www.mcmk.io.

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Keep your eyes on Aman Sabri https://pagerank-tracking.com/keep-your-eyes-on-aman-sabri/ https://pagerank-tracking.com/keep-your-eyes-on-aman-sabri/#respond Sun, 11 Jul 2021 09:57:26 +0000 https://pagerank-tracking.com/keep-your-eyes-on-aman-sabri/ By Mahika Panditha If you’ve been through Tik Tok, you’ve probably heard the amazing voice of Aman Sabri. He is currently pursuing his studies in International Business and Finance at Imperial College. He hopes to record his first album of songs while learning to play various musical instruments. We can’t wait to hear him – […]]]>

By Mahika Panditha

If you’ve been through Tik Tok, you’ve probably heard the amazing voice of Aman Sabri. He is currently pursuing his studies in International Business and Finance at Imperial College. He hopes to record his first album of songs while learning to play various musical instruments. We can’t wait to hear him – he’s a very talented young man! As you can see he loves to sing – you should definitely check out his Tik Tok and Instagram account (@amansabri_). He covers a myriad of songs from many genres and is a huge fan of artists such as The Weeknd and Bruno Mars who inspire him to write music every day!

Hi Aman! Before getting to the heart of the matter, tell our readers a little about yourself!

I am a 21 year old singer and songwriter from Kandy. Studied at St. Anthony’s College in Kandy and currently a student at Imperial College. I do covers and post them on social media platforms like Instagram, TikTok, and YouTube. I have two brothers who are as musical as me.

You are a rising star! How did you get into music?

Well, it was basically a progression over time. I think it all comes from my parents who played the keyboard at the time and there was always music in the house when I was little. When I was about 14, I entered a school singing competition as a joke and was placed third. The judges told me that I have a very unique tone and that I should work on my voice more. I took their advice and searched YouTube for vocal exercises, practiced them almost every day, and ended up improving at singing. On top of that, artists like Ed Sheeran, Justin Bieber and One Direction inspired me to become who I am today.

Why is music important to you?

Music has always been an integral part of my life, as far back as I can remember. Whether I’m in a good mood or in a bad mood, there is always a song that matches my mood. No matter how stressed I am, as soon as I put on my headphones, I am disconnected from reality and in a stress-free zone where I can collect my thoughts. It’s crazy how a song can give you a whirlwind of emotions. As an artist, making music is a way for me to tell my story or my experiences to listeners in the hope that they can relate to it while still wanting to come back for more.

Tell us about your journey on Tik Tok and where you hope to be in a few years on the platform?

When I first started on TikTok, I had very little hope of being recognized as I was unfamiliar and unsure of the app’s algorithm, but I had heard a lot about people and their content went viral, so I thought I would give it a shot. About four posts, I got my first viral TikTok which currently has over 17,000 views and over 1,600 likes. It wasn’t much, but I had amassed over 100 subscribers overnight because of it. I then realized the potential of this app and started posting more regularly. Fast forward to today, I now have a community of around 4,600 (and growing) followers, who have nothing less than support and I am eternally grateful to all of them.

As of now, I have no aspirations of what I want to do on the platform in the future, as TikTok is an ever-evolving app and it’s hard to determine what it will look like even months from now. . As I started on TikTok, I plan to play around and see where the road takes me.

How do you think Tik Tok has helped you in your career?

Compared to other platforms, I have to say that TikTok definitely has an advantage when it comes to providing more recognition to its users. Their algorithm makes your content visible to a larger audience, which in the long run also helps you gain a lot of followers. Moreover, the user interface of the app is simple and allows you to interact with your followers quite easily. Overall, the app has allowed me to boost my career and gain the recognition I have always sought.

So besides music, what do you do in your free time?

Free time allows me to watch an unhealthy amount of Netflix and TikTok. I’m also a huge sports fan, so every time I sit idle it’s in front of a TV with the sports channel on. I’m also a fitness enthusiast as I spend most of my nights at the gym doing intense workouts.

Any advice for aspiring artists who are afraid to share their voices and talents online?

My advice to them is that they shouldn’t worry about what other people have to say as long as they believe in themselves. This mindset has allowed me to post content for thousands of people without having to worry about what to think about it. In addition, they should not be afraid of making mistakes as it is part of the learning process. Just be real, be you.


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Is Reinforcement Learning Right For Your AI Problem? https://pagerank-tracking.com/is-reinforcement-learning-right-for-your-ai-problem/ https://pagerank-tracking.com/is-reinforcement-learning-right-for-your-ai-problem/#respond Fri, 09 Jul 2021 18:05:11 +0000 https://pagerank-tracking.com/is-reinforcement-learning-right-for-your-ai-problem/ In the world of machine learning, reinforcement learning is an important sub-category of deep learning. In deep learning, the human brain is mimicked through a hierarchical structure of man-made artificial neural networks. Reinforcement learning (LR) is a basic machine learning paradigm that does not require the data to label, as is typically required with machine […]]]>

In the world of machine learning, reinforcement learning is an important sub-category of deep learning. In deep learning, the human brain is mimicked through a hierarchical structure of man-made artificial neural networks.

Reinforcement learning (LR) is a basic machine learning paradigm that does not require the data to label, as is typically required with machine learning. Reinforcement learning helps determine whether an algorithm is producing a good response or a reward indicating that it was a good decision. RL is based on the interactions between an AI system and its environment. An algorithm is given a numerical score based on its result, then positive behaviors are “reinforced” to refine the algorithm over time. In recent years, RL has been the source of superhuman performance on GO, Atari games and many other apps.

Imagine training a machine learning agent to trade stocks. One option is to provide the system with many examples of good strategies, i.e. information labeled on whether or not to sell a particular stock at any given time. This is the well-known paradigm of supervised learning. Because the agent tries to emulate the right strategies, he cannot overcome them. How to find strategies that surpass the expert? The answer is RL.

But while RL is a powerful approach to AI, it is not suitable for all problems and there are several types of RL.

Ask yourself these six questions to decide what might help you with what you’re trying to solve:

  1. Does my algorithm have to make a sequence of decisions?

RL is ideal for problems that require sequential decision making – that is, a series of decisions that all affect each other. If you are developing an AI program to win a game, it is not enough for the algorithm to make a good decision; he has to make a whole series of good decisions. By providing a single reward for a positive outcome, RL eliminates solutions that result in low rewards and elevates those that allow a full sequence of good decisions.

  1. Do I have an existing model?

If you want to write a program for a robot to pick up a physical object, you can use the laws of physics to inform your model. But if you are trying to write a program to maximize stock market returns, there is no existing model that can be used. Instead, you’ll need to use heuristics that have been tuned manually over time. But these heuristics could be suboptimal. Generally, RL is a good choice when there is no existing model to build on or you want to improve on an existing decision-making strategy.

  1. How much data do I have? What is at stake if the wrong decision is made?

The amount of data you already have and the cost of making the wrong decisions can help you determine whether to use RL online or offline.

For example, imagine that you are using a video platform and you have to train an algorithm to provide recommendations to users. If you have no data, you have no choice but to interact with the user and make recommendation decisions in real time, using an online process. Such exploration comes at a cost – a few bad recommendations made while learning the system can disappoint the user. However, if you already have large amounts of data, you can develop a good policy without interacting with specific users. This is offline RL training.

  1. Does my goal change?

Sometimes in AI your target never changes. With stocks, you will always want to maximize your returns. Such a problem is not conditioned by a goal, because you always solve the same goal. But in other cases, your goal may be a moving target. Consider Loon, Google’s recently shut down effort to build giant balloons to bring the internet to rural areas. Here, the optimal position for each ball is different. For such cases, lens conditioned RL is more suitable.

  1. How long is my time horizon?

So how many decisions does my algorithm have to make before arriving at a solution?

The answer can help you determine whether to use hierarchical or non-hierarchical LR. Consider writing a program to make a robot pick up an object. The robot must approach the object and close its grippers to lift the object. For programs like this, with a small number of decisions, non-hierarchical RL is often adequate. Now imagine that the same robot has to locate nails, place them on a board, then pick up a hammer and hit the nail with the hammer. At the abstract level, there are only three or four stages. But if we write a program that displays the position of the robot’s hands, it will be a long sequence of actions. In such cases with longer time horizons, hierarchical LR is often useful.

  1. Is your task really sequential decision-making? What information do I have about my users?

Say you are looking to optimize the design of a website to sell a particular product. In some cases, a user may never return to your website. Whether the user makes a purchase may depend on the color of the website. You can show users three backgrounds in different colors at random and see which one works best. But if you have additional information about your users, such as their gender or location, you can incorporate that information and use it to better shape your AI program. Contextual Bandits are a unique decision making approach that is suited to these types of situations. With context bandits, there are theoretical guarantees of performance: an algorithm can test different actions and learn what is the most rewarding outcome for a given situation. However, if the user has to come back multiple times – go ahead and use RL in its most general form – alas at the cost of no notional guarantees.

This list of questions is by no means exhaustive. For example, there are also safety and fairness considerations to take into account. But by asking these six questions, data scientists can begin to get a feel for how LR might best help them solve their problems.

about the authors

Pulkit Agrawal, MIT

Pulkit Agrawal is an assistant professor of electrical engineering and computer science at MIT and heads the Improbable AI Lab, which is part of MIT’s computer science and artificial intelligence lab.

Cathy Wu, MIT

Cathy wu is the Gilbert W. Winslow Assistant Professor of Career Development in Civil and Environmental Engineering at MIT and has worked in many fields and organizations including Microsoft Research, OpenAI, the Google X Self-Driving Car Team, AT&T, Caltrans, Facebook and Dropbox. Wu is also the founder and chair of the Interdisciplinary Research Initiative at the ACM Future of Computing Academy.

Agrawal and Wu are also co-instructors of MIT’s professional training course, Advanced Reinforcement Learning, which is part of the Professional Certificate in Machine Learning and Artificial Intelligence.


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Take the BioBlitz 2021 challenge https://pagerank-tracking.com/take-the-bioblitz-2021-challenge/ https://pagerank-tracking.com/take-the-bioblitz-2021-challenge/#respond Thu, 08 Jul 2021 09:04:57 +0000 https://pagerank-tracking.com/take-the-bioblitz-2021-challenge/ by Dr Sarah Treanor BoisDirector of Research and Education at the Linda Loring Nature Foundation July is high season for a lot of things in Nantucket. This may be the hardest time to get an ice cream cone or a parking spot, as many of us know, but it is also the peak growing season […]]]>

by Dr Sarah Treanor Bois
Director of Research and Education at the Linda Loring Nature Foundation

July is high season for a lot of things in Nantucket. This may be the hardest time to get an ice cream cone or a parking spot, as many of us know, but it is also the peak growing season – when the greatest biodiversity is visible on the road. ‘Isle. Blooming flowers, ripening berries, budding autumn asters, and young birds abound. There is so much to see in all of the island’s habitats. What’s the best way to see and appreciate this multitude of species? Take part in the Nantucket Land Council and the Linda Loring Nature Foundation July Bioblitz Challenge!

Goat Street Flower by Sarah T. Bois

What is a bioblitz, anyway? A bioblitz is generally an effort to catalog as many species as possible in a given area over a specified period of time. Usually a bioblitz involves a mix of experts and community scientists to cover an area. Nantucket is a great place for bioblitzes, as there are clear advantages to being an island for the geographic boundary. July is the perfect season to assess living things on the island, and in terms of participants, this is where you come in. Anyone can join in and search for species. It’s free, and it’s a snap with the iNaturalist app. Have a cell phone? You are ready to go. All you have to do is take a photo. Using the free public iNaturalist app, we can compile a list of species seen on Nantucket during a given time period. By uploading photos of any living thing to the iNaturalist community, you can receive comments to help you identify what you saw. iNaturalist also offers online maps that show what other people have recorded and where they found it. Take a quality photo, and members of the iNaturalist science and nature community will identify what you have found.

Why iNaturalist? It is one of the most popular natural apps that helps people around the world identify plants and animals. This is a joint project between the California Academy of Sciences and National Geographic. At the time of this writing, there are currently over 71 million sightings from around the world documenting over 338,000 species. This huge database is used by scientists to track different aspects of nature. By recording and sharing your observations, you’ll create scientific-grade data for scientists working to better understand and protect nature.

Common Milkweed by Sarah T. Bois
Common Milkweed by Sarah T. Bois

My favorite part about iNaturalist is that when I don’t know what an unusual caterpillar is, for example, all I have to do is take a picture. I can then upload it to iNaturalist and click “What did you see?” An iNaturalist algorithm suggests species based on photo and location. If that doesn’t get you far, or if there is still too much to choose from, teams of expert volunteers help identify the sighting until it is “research-grade”.

Attending the July Nantucket Land Council (NLC) Bioblitz is a great way to learn more about iNaturalist (which I use year-round) and learn about local biodiversity. The NLC also offers many ways to help you discover the tools you need to participate in the Bioblitz.

Nantucket Land Council associates and volunteers are hosting a series of Saturday “How to Bioblitz” sessions at our Bioblitz partner Linda Loring Nature Foundation at 110 Eel Point Road. The four sessions will be held on July 10, 17, 24 and 31 from 10 a.m. to 12 p.m.: choose the one that fits your schedule. These “How to Bioblitz” sessions are free and open to the public – come explore with us!

Last year, NLC documented over 500 sightings of over 300 unique species. The goal for 2021 is to make more than 1,000 observations and identify 500 unique species. At the time of this writing, the NLC Bioblitz had already recorded 214 sightings of 161 species, and that was just starting on July 1! You can consult the project page ( inaturalist.org/projects/nlc-llnf-bioblitz-2021 ) to keep an eye on what has been seen, where and who the leaders are. Common milkweed is currently the number one with the most sightings, closely followed by one of my favorite native wildflowers: Goat’s Rue.

Iris Blue Flag by Sarah T. Bois
Iris Blue Flag by Sarah T. Bois

So, for the rest of the month, go anywhere on the island with your smartphone, take a photo of the species you see, upload it to the iNaturalist app and join NLC and LLNF for Bioblitz 2021! You can document almost any living thing you find – fish, crabs, insects, flowers, trees, etc. – to help document the many special species found on Nantucket Island.

Prizes will be awarded to participants who observe the following: 1) rare / endangered species, 2) migratory species and 3) species not yet recorded in Nantucket County. The iNaturalist database automatically buffers location information for rare species, so there is no hassle in sharing information about these special species.

By participating in the Bioblitz 2021 Challenge, not only are you engaging in our beautiful open spaces and diverse habitats, but you are fostering a love of the outdoors for yourself, your children, and joining a community of like-minded environmentalists. To learn more and receive updates on bioblitz results, visit nantucketlandcouncil.org.


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Amazon or Big Bazaar, Indians want low prices. Online retail must be a level playing field https://pagerank-tracking.com/amazon-or-big-bazaar-indians-want-low-prices-online-retail-must-be-a-level-playing-field/ https://pagerank-tracking.com/amazon-or-big-bazaar-indians-want-low-prices-online-retail-must-be-a-level-playing-field/#respond Wed, 07 Jul 2021 06:41:37 +0000 https://pagerank-tracking.com/amazon-or-big-bazaar-indians-want-low-prices-online-retail-must-be-a-level-playing-field/ Representative image | Pexels Text size: A- A + OOnline retailing is one of the few sectors to have well done even during the Covid-19 pandemic. Consumers’ love of convenience and value for money offers the industry’s double-digit growth. It adds thousands of jobs directly and indirectly in logistics and manufacturing in an otherwise sluggish […]]]>
Representative image | Pexels

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OOnline retailing is one of the few sectors to have well done even during the Covid-19 pandemic. Consumers’ love of convenience and value for money offers the industry’s double-digit growth. It adds thousands of jobs directly and indirectly in logistics and manufacturing in an otherwise sluggish labor market. The online retail industry is also helping thousands of small sellers overcome the limitations of local small markets by turning them into pan-Indian and / or global sellers. This adds to India’s exports.

Yet not everyone is happy, especially offline retailers.

Online retail platforms are the subject of five major criticisms. First, the massive discounts they offer are killing offline retail, including neighborhood grocery stores. Second, they give preferential treatment to big sellers. Third, they cross-sell and aggressively push private labels. Fourth, they exploit small sellers by charging high fees while expecting them to give big discounts to customers. And fifth, they often find a way around (e-commerce) regulations to continue engaging in all four practices.


Read also : Swadeshi push, no flash sales: how draft e-commerce rules will impact Amazon, Flipkart and others


It’s a cost-conscious market economy

Online sellers rely on discounts and price drops, which hurts offline stores selling clothing, groceries, or cellphones. But so are offline retailers. In a cost-conscious market economy like ours, where customers want more for less, discounts, price cuts or cash back will be used to drive sales, whether it’s retail, telecommunications services or digital wallets. Most online shoppers love discounts – the bigger the better. This is why online marketplaces such as Amazon and Flipkart or offline retailers such as Big Bazaar, DMart or Reliance Retail hold D-Day sales or flash sales. Those who buy from DMart stores (offline or online) know that no other seller, including Amazon, Bigbasket, Flipkart, or JioMart, can match them on the prices of the grocery store.

Thus, it is difficult to understand why India’s e-commerce rules distinguish foreign online marketplaces but not domestic online and offline retailers, who rely on similar marketing tactics to increase their sales. It’s not that only Amazon and Flipkart discounts are hurting the prospects of mom-and-pop stores and not Big Bazaar or JioMart. In addition, India’s retail market is value nearly $ 900 billion, of which online retailers account for only about 5 percent.

In its current avatar, online retailing is mostly about lower prices and higher (sales) volumes. This may cause Amazon or Flipkart to rely on a few select vendors with capabilities to grow and attract large numbers of customers online using attractive merchandise prices that smaller vendors may not offer. Unlike JioMart, for example, foreign companies Amazon and Flipkart cannot own inventory, which is necessary to control prices through wholesale sourcing and thus negotiate lower prices. – due to faulty India e-commerce regulations which only apply to overseas retailers.

In an extremely competitive market, not only online platforms but many industries including banks are doing cross-selling such as auto loans to their credit card customers. Likewise, an online retailer may try to sell shoe polish to someone who has purchased shoes. The customer can accept or refuse such offers. It may not be ethical, but it is common practice.

Likewise, private labels could be an attempt to fill gaps in sourcing, or offering low-priced products to cost-conscious buyers. Sometimes the threat of pushing private labels through online marketplaces with their unmatched network power is used to extract lower prices from sellers of branded consumer goods, who would otherwise resist the pressure to cut prices and reduce prices. accept lower margins. Yet not all customers take the bait. This is why the share of private labels Amazon’s or Flipkart’s gross merchandise value (GMV) does not exceed 5 to 10 percent. In addition, offline retailers such as Reliance retail have also use private labels.

Being commercial enterprises, online marketplaces often charge 30 to 35 percent of the value of the commodity as a “fee” to recover their expenses, yet none of them make any real profit. Obviously, most of the earnings are appropriated by online customers and not by online platforms.


Read also : Add to Cart? How Amazon rigs its buying algorithm


Politics must provide a level playing field

Foreign-owned online marketplaces often find a way around, so goes the accusation. While this is not a good thing, the fact is India’s e-commerce regulations are too stringent and changing frequently influenced by lobbies. At the same time, they neglect consumers and discriminate foreign players. Online customers demand too much – they want lower prices, fast delivery, and reverse pickup. It’s not an easy market, but online gamers are in for future growth and profitability.

In addition, it should be mentioned that our desi online and offline retailers are not as virtuous as they might claim. We never discuss the shame with which many of our kiranas or neighborhood pharmacies steal from customers, especially in emergencies, or how they treat their customers. Rajus or Chhotus. Trading primarily in cash, they often dodge taxes. Likewise, before the arrival of online gamers, offline cell phone sellers had a margin of up to 25 percent. Obviously, they won’t be happy that customers get better deals online.

Online retail sales are mainly about attractive prices. Thus, asking e-commerce players not to influence prices is impractical, especially if this directive does not apply to local players, in particular physical stores. We need to have the same rules for foreign and domestic players, and for offline and online retail. Instead of micromanagement, we need a stable political regime to encourage investment, national added value and job creation.

One of the recent ad the draft rules want online sellers to clearly suggest made-in-India alternatives. If it can be applied to all kinds of online and offline retailers, it will help customers make informed choices and support the government’s “Make in India” initiative.

Given recently passed agricultural laws, it is also time to consider adopting FDI in multi-brand retailing. This will reduce the farm-to-fork price gap, encourage agri-food processing, and create thousands of jobs in post-harvest supply chains. The lack of jobs remains India’s biggest macroeconomic challenge with the potential to turn our demographic advantage into a demographic catastrophe and derail our consumption-based growth model. It requires sound politics instead of trying to please one lobby or the other.

The author is CEO and Chief Economist of Indonomics Consulting Private Limited. He tweets @RiteshEconomist. Opinions are personal.

(Edited by Prashant Dixit)

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