Reinvention of the fashion industry through artificial intelligence, fostering a new value-generation model for brands. This vision aims to inspire technologists and business professionals in applying AI to attract digital customers with innovative, hyper-personalized, and unique offerings, while also demonstrating that its implementation is more accessible, faster, and cost-effective than initially anticipated.

Within AI governance, we identify the following three key domains to support the definition of solid AI-Driven Organization foundations. These levers should help organizations continuously innovate by enabling fast experimentation, and foster AI-driven initiatives with differential value.

AI is generating much expectation and the first organizational movements towards the creation of a responsible and ethical AI. But, at the same time, it is posed as a challenge for CDOs and CIOs leading to many open fronts to tackle.

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AI FOR BUSINESS VALUE GENERATION is a guide to addressing business challenges, elevating business models to the next step, and leading market disruption in this new environment by harnessing D&I capabilities.

This paper introduces the Intelligent Platform (IP) - a platform that can automate all the bureaucratic tasks in the data value stream and nurture experimentation, democratize innovation and strategic prototyping, augment efficiencies, reduce time-to-market, and support the final decision-making process with AI/ML assistance.

In order to keep up with the market’s fast pace, ensure a successful product differentiation from competitors, and motivate the preference of an increasingly demanding customer profile, we support our clients to lead the market with avant-garde scalable Digital Intelligent Services thanks to our NTT DATA AI LABS. The AI Labs offers a 3-phase approach for ideating fast AI initiatives that tackle the business needs and technological hurdles in an innovative way. Our methodology involves multidisciplinary roles under a common working methodology for the development of D&I projects and leverages cloud capabilities that can be embedded throughout the entire AI Lifecycle that bring Digital Intelligent Services to scale.

The CoE offers strategy services that align business needs with innovation, service design, governance, and advisory on architectures, enabling scalable models and customized solutions. Moreover, we leverage Hyperscalers’ cloud specialized assets to accelerate time-to-market processes and to foster D&I capabilities and know-how combined with our experimentation work. In this way, our clients benefit from personalized support, activating different services that best fit their current maturity level and set goals.

This guide presents the need of prototyping AI projects, exposing the game-changer technologies that allow the rapid and agile prototyping of this kind of projects and introduce our very
own AI Prototyping Tech Stack.

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Tomando en cuenta el impacto de la IA en sus diferentes fases y aplicaciones, hemos considerado elaborar un decálogo que traslade el compromiso que implica un uso responsable e inclusivo de la IA a través de tres grupos de interés: la Sociedad, el Individuo y las Organizaciones.

On the 21st of April 2021, the European Commission published the long-awaited regulation proposal, known as the AI Act, governing the use of AI systems regarding their level of risk (prohibited uses, high-risk, limited-risk, and low risk). The proposal establishes horizontal proportional requirements that will ensure the proper development of trustworthy AI systems. This regulation has the ambition to harmonize the existing EU laws to facilitate investment and innovation in AI while protecting the individuals’ fundamental rights and principles on which the EU is founded when developing AI systems.

The Data Act is expected to incentivize data sharing and build trust to promote value in the data economy. However, this will only be achieved if regulation acts as an enabler rather than as a set of restraining obligations. If businesses see additional costs for them to provide data or risks of penalties for non-compliance, they will make less data available leading to a reduction of the possibility for value creation and for common good. The proposed provisions aim for facilitating access to and use of IoT data by consumers and businesses, while preserving incentives to invest in ways of generating value through data.

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