article thumbnail

How Svevia connects roads, risk, and refuse through the cloud

CIO Business Intelligence

Taking out the trash Division Drift has been key to disruptively digitize Svevia’s remit with the help of the internet of things (IoT), data collection, and data analysis. Digital alerts Another project deals with slow-moving vehicles, something that increases the risk of accidents on the roads.

Risk 98
article thumbnail

Bringing an AI Product to Market

O'Reilly on Data

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 362
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Health check on Tech: CK Birla Hospitals CIO Mitali Biswas on moving the needle towards innovation

CIO Business Intelligence

In this conversation with Foundry, Mitali discusses the accelerated importance of technology in healthcare, on enabling healthcare providers with data and why her team isn’t afraid of experimentation. The need is for a user-friendly system that captures all the data. Can you tell me about your career path so far?

article thumbnail

It’s a new dawn of AI-powered knowledge management

CIO Business Intelligence

However, the AI future for many enterprises lies in building and adapting much smaller models based on their own internal data assets. Rather than relying on APIs provided by firms such as OpenAI and the risks of uploading potentially sensitive data to third-party servers, new approaches are allowing firms to bring smaller LLMs inhouse.

article thumbnail

eCommerce Brands Use Data Analytics for Conversion Rate Optimization

Smart Data Collective

Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. Identifying Key Metrics for Conversion Rate Optimization Data collection and analysis are both essential processes for optimizing your conversion rate.

article thumbnail

Digital listening reveals 3 leading innovation drivers

CIO Business Intelligence

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

article thumbnail

Machine Learning Product Management: Lessons Learned

Domino Data Lab

Pete indicates, in both his November 2018 and Strata London talks, that ML requires a more experimental approach than traditional software engineering. It is more experimental because it is “an approach that involves learning from data instead of programmatically following a set of human rules.”