Hidden Insights

Analytics

Find out how analytics, from data mining to cognitive computing, is changing the way we do business

Analytics

Andy Davies20 May 2019 0

Analytics has an important role to play in supporting the police to keep our communities safe, and I believe the benefits can be far-reaching. In my previous three posts, I discussed the role analytics can play in policing, reviewed the required data and highlighted a police force that is currently

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Government

Analytics

Hidden Insights: Better decisions, smarter policies, more efficient operations

Roderick Crawford2 May 2019 0

Better decisions, smarter policies, more efficient operations

Can government organisations really have it all? While day-to-day spending on functions including health, education and defence will rise in 2019 by 1.8%, 3.8% and 1% respectively, many other departments will experience sustained budget reductions into next year. These departments are battling to improve service quality, operational efficiency and

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Government

Analytics | Risk Management

Anders Langgaard25 April 2019 0

3 challenges banks must overcome to thrive

Banks increasingly face challenges that put pressure on the bottom line. In this post, I’ll focus on the threats that affect the risk departments of banks. In my view, there are three critical areas. The 3 core challenges 1. Regulatory and accounting demands The first is increased regulatory and accounting

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Banking

Analytics

Hidden Insights: Do banks really need to choose between operations and innovation?

Caroline Hermon24 April 2019 0

Do banks really need to choose between operations and innovation?

Analytics can help today’s leaders transform banking for the digital age without compromising on efficiency It’s no secret that challenger banks and fintech companies are changing the banking industry as we know it. The main issue for today’s banking leaders is not that customers are switching to new high-street providers,

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Banking

Analytics

The bigger AI challenge – governing data

Ricardo Galante22 April 2019 0

SAS e Open Source – Governabilidade

No início deste mês tive o prazer de participar como speaker no evento Platform Roadshow – Road2AI promovido pelo SAS. Nesta conferência foram abordados diversos temas interessantes, entre eles Inteligência Artificial, Cloud, Ofertas SAS adequados a diversas expertises. Sob a minha responsabilidade ficou o tema SAS e Open Source –

Portuguese

Analytics | Machine Learning

Sylvie Faucillon11 April 2019 0

Les Bots : nouvelle vague de la 4ème révolution industrielle

Et si, en dehors de la nouvelle organisation des moyens de production, la 4ème révolution industrielle induisait également une évolution significative dans la gestion de la connaissance intrinsèque à chaque domaine ? Et si les nouvelles technologies numériques permettaient aux acteurs opérationnels d’accéder simplement à cette connaissance, le plus souvent fruit de méthodes

French

Analytics

Christer Bodell10 April 2019 0

9 ways hackathons can support innovation

Hackathons are short-term programming events that use data and analytics to solve real-world challenges. They have been around for a while now, and there is general agreement that they are great opportunities for networking and experimenting. There is also, however, now a growing sense that organisations can use them to

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Analytics | Data Management

James Ochiai-Brown4 April 2019 0

8 reasons to run SAS Analytics in containers

The idea of running software in a self-contained package took off with the launch of Docker in 2013 and has become a hot topic in the application development and DevOps community. In a recent survey by Red Hat, 57 percent of companies questioned said they use containers for some workloads

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Analytics

Haidar Altaie3 April 2019 3

The revolutionary new football metric: Expected goals

Changing how we’ve viewed the beautiful game forever. How often have we looked at a game and wondered, “How did he miss that?!” Now, with expected goals (xG) metric, we can really see if our frustration is justified, and perhaps use that to predict future results. The use of analytics

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Sports & Entertainment

Analytics | Data Management

Gerhard Svolba2 April 2019 0

7 ways analytical methods improve data quality

Data scientists spend a lot of their time using data. Data quality is essential for applying machine learning models to solve business questions and training AI models. However, analytics and data science do not just make demands on data quality. They can also contribute a lot to improving the quality

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Blogs

Blogs

Analytics