The NoDB Approach to Big Data, AI and Data Science

October 17, 2018

Big Data, AI and data science herald great potential in building new products, business opportunities and user experiences to your customers, as well as reducing costs by optimizing your processes internally. The transition, however, is hard. IT is structured for operating critical infrastructure and not for running data experiments. The choice of data engineering and science tools is vast. The trade-offs are not well-understood. Best practices are still to be defined. Data scientists are hard to find and hard to make productive. Prototypes show promise but are difficult to scale up to production.

Spotlight

MOHARA

MOHARA is a global product, technology and venture development specialist who partner with startups and corporates. New and existing businesses make the same innovation mistakes every day - technology is the end game, not the starting point. Without laying the right foundations to truly innovate, businesses expose themselves to problems like poor product-market fit, little return on investment and negative perceptions of innovation.

OTHER WHITEPAPERS
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Machine learning and artificial intelligence in a brave new world

whitePaper | December 22, 2022

Machine learning, one of the key building blocks of AI, has been a part of the technological world since the 1950s, when the earliest programmers asked computers to make sense of large sets of data. Programmers have increasingly refined the ability of machines to study data in order to detect patterns that allow computers to then organise information, identify relationships, make predictions and detect anomalies. Today, modern applications of AI have already given us self-driving cars and virtual assistants and have helped us detect fraud and manage resources like electricity more efficiently. Sectors as diverse as retail, sports, banking, manufacturing and healthcare have all found applications for machine learning and AI.

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Powering the modern life insurance carrier with advanced AI and data

whitePaper | December 27, 2022

Welcome back to our white paper series about how to use AI and data throughout the new business and underwriting processes. In the first white paper we discussed the importance of product design and the benefits of using AI.

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5 Brass tacks to achieve compliance with AI and ML

whitePaper | March 1, 2020

The lucrative business of banks selling their customers “financial advice” coupled with financial products has been in the spotlight recently with the events that have shaken up the banking and financial services world. The most notable ones are the investigations of the Royal Commissions into the misconduct of the banking and superannuation industry1 , the misconduct charges of £264 billion fined by EU on the top 20 banks2 , the Wells Fargo fake accounts scandal3 and the nearly 1000 cases of fraud reported to FINRA resulting in a fine of $61 Million in 20184 .

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FLI Position Paper on AI Liability

whitePaper | November 28, 2022

The Future of Life Institute (FLI) welcomes the opportunity to provide feedback to the European Commission on its proposal for an artificial intelligence (AI) Liability Directive1 . Liability is an important instrument for safeguarding the interests of society. It can play a role in catalysing innovation by encouraging organisations to develop risk-mitigating technologies that reduce the likelihood of harm in products and services. At the same time, it prioritises the rights of individuals and can lead to increased trust and uptake in new technologies.

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Embracing Ethical AI

whitePaper | September 2, 2022

The past several years brought about an abundance of change in how we as individuals, organizations, and a society approach daily life. Our views on ethics are evolving and our sense of acting with purpose is increasing – and as part of that, diversity, equity, and inclusion have become top corporate and personal objectives. Consumers are asking the brands they engage with for more transparency and are tasking them to act in ways that are fair and respectful to all stakeholders: suppliers, employees, prospects, and anyone else who interacts with the brand.

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Low-Code Analysis

whitePaper | December 22, 2022

This study is promoted by Mobile World Capital Barcelona and NTT DATA in the framework of the Barcelona Digital Talent alliance. Mobile World Capital Barcelona is an initiative driving the digital advancement of society while helping improve people’s lives globally.

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Spotlight

MOHARA

MOHARA is a global product, technology and venture development specialist who partner with startups and corporates. New and existing businesses make the same innovation mistakes every day - technology is the end game, not the starting point. Without laying the right foundations to truly innovate, businesses expose themselves to problems like poor product-market fit, little return on investment and negative perceptions of innovation.

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