Quali sono i "problemi legati alle persone" che ostacolano le strategie aziendali attuali basate su dati e intelligenza artificiale (AI)? Come possiamo rimediare a essi? Scopri di più
Nessuno mette in dubbio il potere trasformativo dei dati e dell'intelligenza artificiale (AI) - ma troppi progetti aziendali basati su dati e AI falliscono a causa di ostacoli non necessari. Che siano causati da problemi organizzativi, tecnologici o finanziari, questi ostacoli rubano tempo, denaro, produttività e potenziale al tuo team. Con le soluzioni di dati e AI di Altair, puoi lasciare questi ostacoli nel passato.
In questa infografica, puoi vedere come i tre principali ostacoli legati ai dati e all'intelligenza artificiale (AI) - organizzativi, tecnologici e finanziari - creino caos nelle organizzazioni e nei team. Scopri di più
In this presentation, Karan Bedi, Senior Digital Innovation Lead at Avery Dennison, takes us through the company's Data Science journey. He discusses how Avery Dennison works with data today and what their goal is with regards to democratizing data science. He introduces RapidMiner, an end-to-end data science platform now part of Altair, and explain how they are using it.
This presentation was part of the 2nd Altair Northern UK Seminar and was filmed live in Newcastle, UK in December 2022.
Speaker: Karan Bedi, Senior Digital Innovation Lead, Avery Dennison
Duration: 18 minutes
Identifying potentially impactful use cases is one of the most cited roadblocks for organizations seeking to leverage AI in their business. To complicate things further, best practices dictate that you should have a portfolio of use cases ready to experiment with. If finding one is a challenge, developing a whole portfolio of use cases may prove to be very difficult.
In this guide, we’ll cover:
Dr. Ingo Mierswa, Senior Vice President of Product Development at Altair, shared how Altair + RapidMiner removes the friction between people, data, and the business impact AI should have.
In this session you will learn how Altair RapidMiner:
Accelerates users from concept to production by offering AutoML, visual workflows, and coding for all aspects of data science in a single, seamlessly integrated platform
Modernizes established data analytics environments such as SAS and Python
Caters to enterprise needs in a seamless, future-proof way with desktop and cloud offerings
Presented as part of Altair's 2023 Future.Industry conference.
The presentation is in English by default. The following languages are available by clicking on Audio Description 'AD))' on the video screen: DE, ES, FR, IT, ES, PT, KO, and CN.
Duration: 20 minutes
If you have mountains of data at your fingertips that you’re not using, you risk falling behind your competition. But, if you actively work toward becoming a more data-driven organization and closing the pervasive data science skills gap, you can promote internal alignment around how data is used, make a tangible impact with AI, and come out on top. The best time to start optimizing how data is viewed and used at your organization is right now, and in this whitepaper, we’re going to walk you through how to do just that.