Anthill Inside 2018
On the current state of academic research, practice and development regarding Deep Learning and Artificial Intelligence.
Jul 2018
23 Mon
24 Tue
25 Wed 08:45 AM – 05:25 PM IST
26 Thu
27 Fri
28 Sat
29 Sun
On the current state of academic research, practice and development regarding Deep Learning and Artificial Intelligence.
Jul 2018
23 Mon
24 Tue
25 Wed 08:45 AM – 05:25 PM IST
26 Thu
27 Fri
28 Sat
29 Sun
##About the conference and topics for submitting talks:
In 2016, The Fifth Elephant branched into a separate conference on Deep Learning. The Deep Learning Conference has grown in to a large community under the brand Anthill Inside.
Anthill Inside features talks, panels and Off The Record (OTR) sessions on current research, technologies and developments around Artificial Intelligence (AI) and Deep Learning. Submit proposals for talks and workshops on the following topics:
##Perks for submitting proposals:
Submitting a proposal, especially with our process, is hard work. We appreciate your effort.
We offer one conference ticket at discounted price to each proposer, and a t-shirt.
We only accept one speaker per talk. This is non-negotiable. Workshops may have more than one instructor.
In case of proposals where more than one person has been mentioned as collaborator, we offer the discounted ticket and t-shirt only to the person with who the editorial team corresponded directly during the evaluation process.
##Target audience:
We invite beginner and advanced participants from:
to participate in Anthill Inside. At the 2018 edition, tracks will be curated separately for beginner and advanced audiences.
Developer evangelists from organizations which want developers to use their APIs and technologies for deep learning and AI should participate, speak and/or sponsor Anthill Inside.
##Format:
Anthill Inside is a two-day conference with two tracks on each day. Track details will be announced with a draft schedule in February 2018.
We are accepting sessions with the following formats:
##Selection criteria:
The first filter for a proposal is whether the technology or solution you are referring to is open source or not. The following criteria apply for closed source talks:
The criteria for selecting proposals, in the order of importance, are:
No one submits the perfect proposal in the first instance. We therefore encourage you to:
Our editorial team helps potential speakers in honing their speaking skills, fine tuning and rehearsing content at least twice - before the main conference - and sharpening the focus of talks.
##How to submit a proposal (and increase your chances of getting selected):
The following guidelines will help you in submitting a proposal:
To summarize, we do not accept talks that gloss over details or try to deliver high-level knowledge without covering depth. Talks have to be backed with real insights and experiences for the content to be useful to participants.
##Passes and honorarium for speakers:
We pay an honararium of Rs. 3,000 to each speaker and workshop instructor at the end of their talk/workshop. Confirmed speakers and instructors also get a pass to the conference and networking dinner. We do not provide free passes for speakers’ colleagues and spouses.
##Travel grants for outstation speakers:
Travel grants are available for international and domestic speakers. We evaluate each case on its merits, giving preference to women, people of non-binary gender, and Africans. If you require a grant, request it when you submit your proposal in the field where you add your location. Anthill Inside is funded through ticket purchases and sponsorships; travel grant budgets vary.
##Last date for submitting proposals is: 15 April 2018.
You must submit the following details along with your proposal, or within 10 days of submission:
##Contact details:
For information about the conference, sponsorships and tickets contact support@hasgeek.com or call 7676332020. For queries on talk submissions, write to anthillinside.editorial@hasgeek.com
Hosted by
Kalpit Desai
@kalpitdesai
Submitted Apr 26, 2018
While large enterprises have the necessary resources to acquire and process Big Data, the Micro / Small / Medium enterprises in emerging economies like India are far from being ‘data-driven’. This is a huge opportunity untapped, considering that MSMEs account for more than 99% of businesses, and they make up the backbone of our economy. For the opportunity to be leveraged, a crucial pre-requisite is that the MSMEs transactions be anchored onto a common ‘reference’ data. The ‘Product Catalog’ is one such reference data containing rich semantics about all products being transacted by MSMEs.
However, building and maintaining such catalogs especially for MSMEs is a herculean task in itself, owing to several complex challenges. First, the product universe for MSMEs is very diverse. Even at the top-level classification of finished goods alone, there are nearly hundred industry segments. Moreover, while B2C companies transact in finished goods, B2B transactions happen in raw material, intermediate artifacts, and parts all of which combine to make a consumer good. Hence, the size of the product catalog in which MSMEs operate, is perhaps hundreds of times larger than the size of the catalog operated by, let’s say the e-commerce sector. Second, there is a vast disorganization in terms of product representation. A pencil may be represented by a manufacturer as ‘Natraj Pencil hardness HB, shape=Octagone’; whereas the same pencil may be denoted by a retailer simply as ‘Pencils’. In addition, there is the issue of multilingual representations, given that India has more than 20 regional languages and even more local dialects. And often, the MSME owners / data operators aren’t familiar with English. Third, the catalog needs to cover the product universe transacted by a huge number of businesses of varying scale. By government census, there are around 6 million registered businesses in India, and 99% of them are MSMEs. Each business records and structures their data uniquely to suit their individual needs, and because no standardization has been enforced.
Keeping in mind the nature and scale of the problem, this talk will present innovative approaches to tackling a few of the challenges in building a product catalog for MSMEs. These solutions rely on techniques ranging from heuristics, string match to conditional random fields, evidence theory, and semantic graph mining, to name a few.
For the big data analytics to be leveraged by MSMEs, a crucial pre-requisite is that their transactions be anchored onto a common ‘reference’ data. The ‘Product Catalog’ is one such reference data containing rich semantics about all products being transacted by MSMEs. This talk will present innovative approaches to tackling a few of the challenges in building a product catalog for MSMEs.
Kalpit V. Desai is the Director of Data Science at Clustr. Prior to Clustr, Kalpit has gained over 14 years of experience building the core algorithms for data products in variety of settings ranging from an academic lab CISMM to a multinational conglomerate GE to a start-up Bidgely. His core expertize is in building intelligent software systems based on statistical inference, pattern recognition and machine learning. He is passionate about making use of data and algorithms to make our world a better place. Kalpit holds PhD from The University of North Carolina at Chapel Hill, USA and has numerous patents and peer-reviewed publications at international journals in the field of data science. He lead a prize-winning team in the IEEE data mining contest ICMD 2011. When the clock is ticking a bit slower, Kalpit enjoys family time, chess, non-fiction, and often advising budding businesses on their data strategy.
https://www.slideshare.net/Clustr/builiding-the-product-catalog-kalpit-desai/secret/4or5u5bh31tK7A
Jul 2018
23 Mon
24 Tue
25 Wed 08:45 AM – 05:25 PM IST
26 Thu
27 Fri
28 Sat
29 Sun
Hosted by
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