Examining Data and AI Friction Part One: Organizational Friction
What are the “people problems” hampering today’s enterprise data and AI strategies? How can we remedy them? Read More
Nobody’s doubting the transformational power of data and artificial intelligence (AI) – but too many enterprise data and AI projects fail because of unnecessary friction. Whether it has organizational, technological, or financial causes, friction steals your team’s hard-earned time, money, productivity, and potential. With Altair’s seamless data and AI solutions, you can leave friction in the past.
AI’s Breakdown Lanes: The Three Key Areas of Friction
In this infographic, see how the three main types of data and AI friction – organizational, technological, and financial – wreak havoc on organizations and teams. Read More
Why Are AI and Data Projects Coming Up Short?
Around the world, far too many organizational data and AI strategies fail. Find out why – and what we can do about it. Read More
Achieving Frictionless AI: When, Where, and How
Achieving a frictionless AI strategy is the key to next-generation innovation. Find out how organizations today are creating their own innovative data and AI initiatives. Read More
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.