3 items tagged "SAS"

  • How artificial intelligence will shape the future of business

    How artificial intelligence will shape the future of business

    From the boardroom at the office to your living room at home, artificial intelligence (AI) is nearly everywhere nowadays. Tipped as the most disruptive technology of all time, it has already transformed industries across the globe. And companies are racing to understand how to integrate it into their own business processes.

    AI is not a new concept. The technology has been with us for a long time, but in the past, there were too many barriers to its use and applicability in our everyday lives. Now improvements in computing power and storage, increased data volumes and more advanced algorithms mean that AI is going mainstream. Businesses are harnessing its power to reinvent themselves and stay relevant in the digital age.

    The technology makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. It does this by processing large amounts of data and recognising patterns. AI analyses much more data than humans at a much deeper level, and faster.

    Most organisations can’t cope with the data they already have, let alone the data that is around the corner. So there’s a huge opportunity for organisations to use AI to turn all that data into knowledge to make faster and more accurate decisions.

    Customer experience

    Customer experience is becoming the new competitive battleground for all organisations. Over the next decade, businesses that dominate in this area will be the ones that survive and thrive. Analysing and interpreting the mountains of customer data within the organisation in real time and turning it into valuable insights and actions will be crucial.

    Today most organisations are using data only to report on what their customers did in the past. SAS research reveals that 93% of businesses currently cannot use analytics to predict individual customer needs.

    Over the next decade, we will see more organisations using machine learning to predict future customer behaviours and needs. Just as an AI machine can teach itself chess, organizations can use their existing massive volumes of customer data to teach AI what the next-best action for an individual customer should be. This could include what product to recommend next or which marketing activity is most likely to result in a positive response.

    Automating decisions

    In addition to improving insights and making accurate predictions, AI offers the potential to go one step further and automate business decision making entirely.

    Front-line workers or dependent applications make thousands of operational decisions every day that AI can make faster, more accurately and more consistently. Ultimately this automation means improving KPIs for customer satisfaction, revenue growth, return on assets, production uptime, operational costs, meeting targets and more.

    Take Shop Direct for example, which owns the Littlewoods and Very brands. This approach saw Shop Direct’s profits surge by 40%, driven by a 15.9% increase in sales from Very.co.uk. It uses AI from SAS to analyse customer data in real time and automate decisions to drive groundbreaking personalisation at an individual customer level.

    AI is here. It’s already being adopted faster than the arrival of the internet. And it’s delivering business results across almost every industry today. In the next decade, every successful company will have AI. And the effects on skills, culture and structure will deliver superior customer experiences.

    Author: Tiffany Carpenter

    Source: SAS

  • SAS Academy for Data Science in september van start in Nederland

    downloadVoor toekomstige en praktiserende data scientists zijn er weinig mogelijkheden om officiële papieren te halen voor hun werkveld. SAS introduceert daarom de SAS Academy for Data Science. Voor Europese deelnemers gaat deze opleiding in september van start in Nederland. In het programma van de SAS Academy for Data Science wordt kennisontwikkeling voor technologieën als big data, advanced analytics en machine learning gecombineerd met essentiële communicatieve vaardigheden voor data scientists.

    “De sleutel om concurrentievoordeel te behalen uit de enorme hoeveelheden data zijn analytics en de mensen die ermee kunnen werken”, vertelt Pascal Lubbe, Manager Education bij SAS. “De Academy for Data Science biedt kansen aan professionals die starten op dit gebied of hun capaciteiten verder willen ontwikkelen. Ook kunnen bedrijven een speciaal in-house programma laten ontwikkelen voor hun medewerkers. De studenten werken voor de opleiding met SAS-software, maar zijn bij het afronden van de opleiding breed gekwalificeerd als data scientist.”

    De tracks van de SAS Academy for Data Science bestaan uit verschillende elementen; een klassikale instructie, een hands-on case of team project, certificeringsexamens en coaching. Iedere track neemt zes weken in beslag. Door de examens succesvol af te leggen kunnen studenten een of twee diploma’s behalen: SAS Certified Big Data Professional en/of SAS Certified Data Scientist.

    Krachtige mix

    De SAS Academy for Data Science onderscheidt zich door de krachtige mix van praktische ervaring met analytics, computing, statistics en zakelijke kennis en presentatievaardigheden. De lessen worden geleid door experts, begeleid door een coach en studenten krijgen de beschikking tot de SAS-omgeving.

    De opleiding kent twee levels: in het eerste level worden studenten opgeleid om de ‘SAS Certified Big Data Professional credential’ te behalen. Ze leren hoe ze big data kunnen beheren en opschonen en de data te visualiseren met SAS en Hadoop. Level 2 is de opleiding tot gecertificeerd SAS Data Scientist, met predictive modeling, machine learning, segmentatie en text analytics. Ook wordt ingegaan hoe SAS samenwerkt met open source programmeertalen. En minstens zo belangrijk: studenten leren hoe ze met onmisbare communicatieve capaciteiten betekenis geven aan data voor stakeholders.


    “SAS is bijna 40 jaar actief in het data science-vakgebied waarbij we telkens hebben ingespeeld op de behoeften van klanten. Nu vragen onze klanten om analytics-talent”, zegt Jim Goodnight, CEO van SAS. “Werkgevers vertrouwen gecertificeerde SAS-professionals niet alleen voor het beheren en analyseren van de data, maar ook om de betekenis en gevolgen voor de business te begrijpen. Door de analyseresultaten duidelijk te communiceren kunnen betere beslissingen genomen worden.”

    Source: Emerce

  • SAS: The importance of customer experience to keep improving as a company

    SAS: The importance of customer experience to keep improving as a company

    Did you know the first SAS® Users Group event took place before SAS was incorporated as a company? In 1976, hundreds of early SAS users gathered in sunny Kissimmee, FL to share tips and offer feedback before SAS was even officially a company. Our users have continued to influence the direction of our products ever since. And we continue to be keenly interested in the customer experience.

    I’ve been reflecting on my time at SAS and how I’ve seen that commitment grow over the last few years. I remember my first SAS users group conference in 2001 when I was a new product manager at SAS. Attendees told me how much it meant to them that we were there to listen and learn about the ways they used SAS products and the value SAS had for their organizations. The peer interaction that happens in the SAS community continues to inspire me, and I consider that peer interaction to be an essential ingredient of the SAS customer experience, too.

    Since that time, our customer experience program has grown roots and become a key driver in the decisions we make as a company. The feedback and input we receive from our users fuels our growth and allows us to focus on the products, services and overall experience that matter most to you.

    Consider this example. Recently, our newer users told us that it can be overwhelming to get started with SAS and to find all the resources they needed to improve their SAS skills. We understand there can be a learning curve with any new software and we wanted to make it easier for anyone, from students to professional data scientists, to reap value from SAS immediately.

    In response to this feedback, we created a SAS Starter Kit and a SAS Communities space just for new users. The starter kit makes it easy to access free training, support and services. And the communities space pairs new users with SAS pros who are business intelligence experts and enjoy sharing their experience and answering even the most basic questions.

    Author: Randy Guard

    Source: SAS

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