Search
Register

NASSCOM Retail Tech Day 2020: Transformation Through Innovation

|

The retail industry in India is considered one of the top five retail markets in the world by economic value. Before the global pandemic, it was expected to double by 2024 and reach USD 1.4 trillion. Within a fortnight into the COVID-19 crisis the retail industry losses crossed USD 30 billion and the number has only been on the rise. At a time when the entire nation and world are looking forward to a revival – the resurgence of the retail industry will be a key driver for social and economic recovery. And this will only be possible with technology at the forefront! NASSCOM 10,000 Startups is pleased to present a two-day virtual conference with interactive sessions focused on retail technology – NASSCOM Retail Tech Day 2020: Transformation Through Innovation. So, brace yourselves for immers...

Post-COVID Tech Trends in Retail

|

Over the last several months we have been discussing the post-COVID comeback strategies and priorities with our top retail customers and one thing has come out clear and certain – “Retail in the post-COVID era will never be the same again.” The fear unleashed by the coronavirus pandemic has shuttered retail stores across the globe. This has led to retailers looking for ways to ensure business continuity and make up for losses that have happened over the last few months. As governments mandate people to stay indoors and the chances of stores re-opening is still a matter of contention, it is natural that consumers will turn to online shopping. It is imperative for retailers therefore, to give serious thought to digital channels as the dominant distribution channel for the next few mont...

Does your Startup Really need Blockchain?

|

‘To Blockchain or not to Blockchain’ – this is one big question that has been on the minds of startup founders in recent times. From supply chain monitoring to equity management and cross-border payments, Blockchain has been making its way into multiple areas. Startups, to meet their growth goals, are jumping onto the Blockchain bandwagon to generate buzz, convince investors, and raise new rounds of funding. Many startup founders approached us with a common question in the recent past- Is Blockchain the right fit for my startup? That triggered me to help them with a decision tree that will enable pragmatic decision-making in this direction. However, the number of startup founders reaching out to us with this dilemma kept increasing of late, which inspired me to write a detailed article on ...

#RetailTech: Prioritising AI opportunities in retail – Retailers’ guide to identify the right AI use cases

|

A critical element for success of AI initiatives is to pick the right use cases that create long-term value for the enterprise. My previous article on AI use case landscape in retail: Guide to start your AI journey showcases a periodic table highlighting the breadth of AI use cases that retailers can implement today to start their AI journey. However, it is important that they prioritise the right use cases to accelerate their AI journey and this article talks just about that. Source: MarTech Advisor A comprehensive framework encompassing all the vital parameters is necessary before making the business case for working on an AI use case. Enterprises need to evaluate the use cases thoroughly based on their organisation’s priorities, vision, road map, culture and capabilities. Here is ...

Can Blockchain bring revolution in the economy ?

|

  Just like the advent of the 21st century, the innovation consistently winds up streaming down to different divisions and over various ventures. Indeed, it has prompted the ascent new hybrid sectors like Fintech and Health-tech. Probably the greatest attribute of these industries is that they are driven by AI and innovation to give unparalleled client assistance. Keeping with the pattern, Block-chain is the following huge innovation trend that offers a great deal of potential to a wide scope of enterprises especially FIN-TECH. Yearly spending on block chain arrangements will reach about $16B by 2023, as indicated by CB Insights’ Market Sizing Tool. Block chain dives in which makes it more apt with what startups objectives are. It is estimated that 65% of new businesses today in...

Agriculture and Emerging Technologies – Made for Each Other

|

Agriculture and Emerging Technologies – The Two Diversities (Social, Mobility, Analytics, AI, Cloud, IoT, Blockchain, Big Data, AR/VR) Agriculture as a subject and Agriculture Ministry is quite diverse in terms of its coverage & composition. The stakeholders under ‘Agriculture’ are too many and too diverse in nature. Agriculture is a subject, everyone in the Country is directly and/or indirectly connected and relates to. Agriculture & allied sectors (Agriculture) contributing around 15% to GDP, and around 50% population dependent upon Agriculture. The Agriculture contribution to GDP has been going south over years. This is quite a serious concern; however, it calls for disruptive transformation on yesterday basis with most urgency to keep Agriculture relevant. It is not a matter of...

Cloud Data Lakes – Best Practices

|

BI tools have been the go-to for data analysts who help business track top line, bottom line and customer experience metrics. BI tools analyze small sets of relational data (a few terabytes) in a data warehouse, which require small data scans (a few gigabytes) to execute. But, businesses are now looking beyond BI to interactive, streaming and clickstream analytics, machine learning and deep learning in order to gain the data-led advantage. For these types of analytics applications, data lakes are the preferred option. Data lakes can ingest volume, variety and velocity of data and stage and cataloged them centrally. Data is then made available for a variety of analytics applications, at any scale, in a cost-efficient manner. Let’s look at best practices in setting up and managing data lakes...

#RetailTech: AI use case landscape in retail – Guide to start your AI journey

|

9 out of 10 retail enterprises who implemented AI are still not entirely satisfied with their AI implementations Globally, retail organisations are at varying levels of AI adoption across the value chain segments. Very often, enterprises that are starting their AI journey, quickly jump to an assumed end state and start working on a use case without completely understanding feasibility and/or resultant benefits. This results in enterprises facing one or more of the following scenarios: Not fully being able to realise the ROI of their initial AI investments Understanding the transformation potential of the technology Losing the initial momentum when their initiative hits a roadblock To avoid this common pitfall, our recently launched report on Indian retail: AI imperative to data-led disrupt...

How SMEs are benefiting from Data in ‘Big’ way?

|

Data has a pivotal role to play in today’s technologically advancing world. Data is deriving valuable insights and speeding up decision making for businesses. Efficient use of big data can thus change the way businesses operate. Estimates suggest that by the end of 2020, there will more than 40 times more data as compared 2015. Multinationals and large conglomerates are already taking advantages of big data. However, small and medium enterprise are also making efforts to utilize the potential of big data. Big Data and SMEs Due to their infrastructure, processes and systems, large organisations are better placed to generate and utilize big data to gain better insights. However, it is a struggle for the SMEs. As the volume of their business is small, the volume of data they generate also ten...

Cloud Data Lakes – Four Must-have TCO Optimization Capabilities

|

Enterprises leverage cloud providers’ compute and storage services for their ad-hoc data analytics, streaming analytics and ML use cases as cloud data lakes provide significant cost advantages, agility and scale from the get-go. Proof of concepts (POCs) for data-driven initiatives start easily and without any huge upfront bill. But over time as projects mature or ad hoc queries take longer or model iteration cycles increase, the seemingly endless supply of underlying resources leads to wasteful expenditure on compute and resources. The usage comes with cost unpredictability and lacks financial governance and thus negatively impacts TCO. In the cloud, rising costs are not necessarily bad; it means that the data team is using more services, which theoretically means the team is doing more “g...