Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to natural intelligence displayed by animals including humans.
AI applications include advanced web search engines (e.g., Google), recommendation systems (used by YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Tesla), automated decision-making and competing at the highest level in strategic game systems (such as chess and Go).
Analytics is the systematic computational analysis of data or statistics.Organizations may apply analytics to business data to describe, predict, and improve business performance. Specifically, areas within analytics include descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, and cognitive analytics.
Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from big data, and seldom to a particular size of data set.
A blockchain is a growing list of records, called blocks, that are linked together using cryptography. Each block contains a cryptographic hash of the previous block, a timestamp, and transaction data (generally represented as a Merkle tree).
Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the user. Large clouds often have functions distributed over multiple locations, each location being a data center. Cloud is a model of computing where servers, networks, storage, development tools, and even applications (apps) are enabled through the internet.
The Internet of things (IoT) describes physical objects (or groups of such objects) that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks. The field has evolved due to the convergence of multiple technologies, including ubiquitous computing, commodity sensors, increasingly powerful embedded systems, and machine learning. Traditional fields of embedded systems, wireless sensor networks, control systems, automation (including home and building automation), independently and collectively enable the Internet of things.
A metaverse is a network of 3D virtual worlds focused on social connection. In futurism and science fiction, it is often described as a hypothetical iteration of the Internet as a single, universal virtual world that is facilitated by the use of virtual and augmented reality headsets.
Web3 (also known as Web 3.0 and sometimes stylized as web3) is an idea for a new iteration of the World Wide Web based on the blockchain, which incorporates concepts including decentralization and token-based economics.
Software as a service is a software licensing and delivery model in which software is licensed on a subscription basis and is centrally hosted.
The underlying scientific or engineering problems being solved by deep tech and hard tech companies generate valuable intellectual property and are hard to reproduce.
Deep tech innovations are often radical and may create new markets or disrupt existing ones.
The demand for huge early-stage funding for R&D and prototype development and lengthy life cycle of deep tech startups forces them to abandon the established funding progression from friends and family to angel and seed money, series A and subsequent rounds leading to trade sale or IPO.
“The technology industry needs active participation of women as technologists and entrepreneurs to strengthen its innovation abilities and drive market relevant solutions using deep tech,” said Mahesh Zurale, Senior Managing Director, lea ad – Advanced Technology Centers in India, Accenture. “Accenture is committed to supporting women in technology and helping female entrepreneurs grow their businesses, and the Women Founders Program in India is one of many initiatives underway to contribute to these efforts.”
Registrations for this program are currently open to early-stage B2B technology businesses that have at least one woman founder and are focused on advanced technologies such as Artificial Intelligence, Analytics, Big data, Blockchain, Cloud, Internet of Things, Metaverse, Web 3.0 and extended reality.
Eligibility: Indian startup founders profiles the ecosystem-based on product differentiation, disrupt-ability quotient, leveraging of deep technologies, commercial viability are suitable and have a working prototype with early adoption metrics. Selection made by leaders of Accenture is final in all respects.
Accenture has launched the Women Founders Program in India on 25th February 2022. They will help early-stage, women-led Indian startups in the B2B deep tech and enterprise SaaS domain grow and advance their businesses. Under this program, Accenture will provide selected technology startups in India with an equity-free grant of up to $60,000, along with market and network access and mentoring.