Tag: AI

Analytics
Suzanne Clayton 0
Analytics = brilliance

I recently spent two days with an innovative communications customer explaining exactly what SAS analytics can do to help them take their advertising platform to a whole new level. Media meets data resulting in addressable advertising. SAS would essentially be the brain behind all their advertising decisions, helping them ingest

Analytics | Artificial Intelligence | Fraud & Security Intelligence | Machine Learning
Jen Dunham 0
Considering fraud-fighting with machine learning and artificial intelligence?

Any look back at analytics in 2017 makes it clear that machine learning and artificial intelligence appear to be the ‘next big things’ that can solve just about any problem, from writing new hit songs to curing disease. Not one to buy into the hype, I became curious as to

Advanced Analytics | Analytics
Christian Goßler 0
Lenin und der Rote Rapper im Internet of Ticks (IoT5)

„… Internet, Internet, ich hör‘ hier immer Internet. Sag’n Se‘ ma‘, ganz richtig ist das nicht!“ Der Service-Manager errötet nach seinem Rap. Lenin schwankt zwischen Belustigung und bolschewistischem Ingrimm: Stellt der Rote Rapper seine Erfolge im Internet of Things infrage? Der Rapper fährt fort: „Denn diese Daten, die Sie verbraten,

Analytics | Artificial Intelligence | Machine Learning
Christian Engel 0
Künstliche Intelligenz (KI) in der Bankbranche: Ein Fallbeispiel (Teil 1)

Selbstfahrende Sport Utility Vehicle auf unseren öffentlichen Straßen, Siri immer im Zugriff, Alexa im Wohnzimmer … Künstliche Intelligenz und die dahinter funktionierenden Machine-Learning-Verfahren begegnen uns bereits heute, zum Teil eingebettet in den Alltag, zum Teil mit unserem „Wow“, wenn die US-Verkehrsaufsichtsbehörde NHTSA bestätigt, dass es bei einem Unfall mit einem selbstfahrenden

Analytics | Artificial Intelligence | Machine Learning
Andreas Becks 0
KI steckt noch in den Kinderschuhen – warum eigentlich?

Artificial Intelligence (AI), Machine Learning und Deep Learning zählen zu den heißesten Themen, die im Markt diskutiert werden. Und dafür gibt es gute Gründe. Zum einen erleben wir, dass Apps und Software generell, Maschinen und Fahrzeuge immer smarter werden. Wir sprechen mit unseren Smartphones. Autos fahren bald selbst. Die automatische

Analytics | Artificial Intelligence | Customer Intelligence | Data Management | Machine Learning
Vivian Jones 0
Las 10 tendencias para continuar con la transformación digital en el 2018

Es claro que este año que está por finalizar ha traído grandes cambios para todo el mundo en cuanto a transformación digital se trata, se estructuraron cambios en las industrias, la economía e incluso las formas de comunicación con sus clientes. Pero la tecnología no se detiene y cada día

Advanced Analytics | Artificial Intelligence | Machine Learning
Andreas Becks 0
Artificial intelligence in insurance: Where does Europe stand?

Where does the European insurance industry stand in terms of advanced analytics, AI and automation? Do we see that traditional methods of data analysis are now being labeled by the term "machine learning"? Maybe the industry is more advanced than that: Are real chatbots, for example, already ubiquitous? Let's have

Advanced Analytics | Analytics | Machine Learning
Andreas Becks 0
Künstliche Intelligenz in der Versicherung: Wo steht Europa?

Wo steht eigentlich die europäische Versicherungswirtschaft in puncto Advanced Analytics, KI und Automatisierung? Erleben wir, dass gerade auch in der Assekuranz traditionelle Verfahren der Datenanalyse mit dem Begriff „maschinelles Lernen" überklebt werden? Oder ist die Branche hier schon deutlich weiter? Sind beispielsweise echte Chatbots wirklich schon allgegenwärtig? Aktuelle Einblicke gibt

Advanced Analytics | Artificial Intelligence | Data Management | Machine Learning
Josefin Rosén 0
What every business manager should know about algorithm audits

Algorithm audit is a growing area as companies increasingly rely on machine learning algorithms to make decisions. But what do business managers need to know about these audits? We have a responsibility to audit our algorithms Artificial intelligence (AI) algorithms have an increasingly central role in decision making in our

Analytics | Artificial Intelligence
Michał Kudelski 0
Sztuczna inteligencja coraz mniej „sztuczna” – rozpoznawanie obrazów

Niemal każdego dnia słyszymy doniesienia o nowych osiągnięciach w dziedzinie sztucznej inteligencji i uczenia maszynowego. Co prawda, do stworzenia odpowiednika ludzkiej inteligencji w sensie szerokim i ogólnym trochę nam jeszcze brakuje, ale coraz częściej maszyny są w stanie rozwiązywać problemy, z którymi do niedawna jedynie człowiek mógł sobie poradzić.

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
Algorithmic marketing attribution and conversion journey analysis [Part 3]

In Part 1 and Part 2 of this blog posting series, we discussed: Our current viewpoints on marketing attribution and conversion journey analysis in 2017. The selection criteria of the best measurement approach. Introduced our vision on handling marketing attribution and conversion journey analysis. We would like to conclude this

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Machine Learning
Malcolm Lightbody 0
Algorithmic marketing attribution and conversion journey analysis [Part 2]

In Part 1 of this blog posting series, we discussed our current viewpoints on marketing attribution and conversion journey analysis in 2017. We concluded on a cliffhanger, and would like to return to our question of which attribution measurement method should we ultimately focus on. As with all difficult questions

Analytics | Artificial Intelligence
Mary Beth Ainsworth 0
Embracing analytics: A path forward for the intelligence community

The intelligence community needs to revamp its approach to analytics -- and that means creating an analytics strategy that will change the status quo. The challenges facing analysts are consistent throughout the strategic, operational and tactical levels of intelligence operations. The intelligence cycle (see diagram below) is a great teaching

Artificial Intelligence | Customer Intelligence
Tiffany Carpenter 0
Measuring up: robotic process automation versus real-time decision making

Editor's note: Tiffany Carpenter, Head of Customer Intelligence, SAS UK & Ireland sizes up the benefits of the two technologies and offers up a solution to businesses wanting the best of both. With constant pressure on profit margins, organisations need to strike a balance between improving cost efficiencies and customer

Advanced Analytics | Artificial Intelligence | Customer Intelligence | Machine Learning
Suneel Grover 0
Algorithmic marketing attribution and conversion journey analysis [Part 1]

Everyone has a marketing attribution problem, and all attribution measurement methods are wrong. We hear that all the time. Like many urban myths, it is founded in truth. Most organizations believe they can do better on attribution. They all understand that there are gaps, for example, missing touchpoint data, multiple

Advanced Analytics | Customer Intelligence | Machine Learning
Maarten Oosten 0
Bots, collusion and accountability in pricing

In the recent article, “Price-bots can collude against consumers,” the Economist discusses the consumer effects of prices set by price-bots. The article starts with an example of gasoline pricing strategies on Martha’s Vineyard. With a small number of gas stations on the island, the price-bots can cover all competitor prices frequently

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