Remove Analytics Remove Construction Remove Machine Learning
article thumbnail

Which emerging technologies are enterprise companies getting serious about in 2020?

TechCrunch

Some recent research that my company, Innovation Leader , conducted in collaboration with KPMG LLP , suggests a constructive approach. We asked survey respondents to assess a list of 16 technologies, from advanced analytics to quantum computing, and put each one into one of these four buckets. AI/machine learning.

article thumbnail

Planck, the insurance data analytics platform, raises $20M growth round

TechCrunch

He previously held leadership roles at LexisNexis Risk Solutions, building data analytics solutions for property and casualty insurance carriers. Insurance data analytics platform Planck raises $16 million Series B. Ernie Feirer has also joined Planck as its head of U.S.

Insurance 189
Insiders

Sign Up for our Newsletter

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

article thumbnail

Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

AWS Machine Learning - AI

In some use cases, particularly those involving complex user queries or a large number of metadata attributes, manually constructing metadata filters can become challenging and potentially error-prone. The extracted metadata is used to construct an appropriate metadata filter. it will extract “strategy” (genre) and “2023” (year).

article thumbnail

What is a data engineer? An analytics role in high demand

CIO

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Database-centric: In larger organizations, where managing the flow of data is a full-time job, data engineers focus on analytics databases. What is a data engineer? Data engineer job description.

article thumbnail

The Importance of Assessing Interpersonal Skills in Recruitment

Hacker Earth Developers Blog

Candidates with strong interpersonal skills can navigate these challenges constructively, ensuring that team dynamics remain intact. Example: “How do you approach giving constructive feedback to a teammate who isn’t meeting expectations?” Conflict resolution : Tech environments can be high-pressure. How would you describe it?”

article thumbnail

Machine Learning Project Checklist

DataRobot

Download the Machine Learning Project Checklist. Planning Machine Learning Projects. Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before.

article thumbnail

Data analytics in the cloud: understand the hidden costs

CIO

This doesn’t mean the cloud is a poor option for data analytics projects. Data analytics workloads can be especially unpredictable because of the large data volumes involved and the extensive time required to train machine learning (ML) models. Choosing the right environment is about achieving balance.

Analytics 148