Last time, we discussed why organizations might require the functionality of a feature store like Iguazio's. In this blog, we will actually get into the project and cover the following.
Organizations with the best Artificial intelligence (AI) capabilities are poised to deliver better customer outcomes, maximize revenue opportunities, and leave the competition behind. AI-driven insights can help companies achieve many business objectives such as improving customer loyalty, delivering effective training, reducing the impact of outages or providing better healthcare to patients. Applications are aplenty.
Transforming customer experience is at the heart of digital transformation. Digital technologies are changing the game when it comes to customer interactions, with new rules and possibilities that were unimaginable only a few years ago. Customer identity and access management (CIAM) is a new field of identity and access management (IAM) that is fundamentally a component of digital customer experience.
The main objective of Customer IAM (CIAM) is to drive revenue growth by leveraging identity data to acquire and retain customers. It will build an identity-centric ecosystem to nurture an anonymous website visitor into a well-known loyal customer. We have come across multiple phases in the past, and today at the age of the customer, identity has become the glue for all contextual marketing. In doing that, in our journey towards CIAM, we face multiple challenges.
Startups can be somewhat small to large scale businesses and they can vary between different fields of interest. With entrepreneurship becoming one of the hot trends of the decade, a lot of startups have shown up on the records. Many innovative ideas are converted into businesses. Some of these startups excel in large businesses whereas many meet the end of their line in a very short span of time. But this doesn’t keep entrepreneurs from capturing business opportunities.
New Fivetran features help data teams jointly orchestrate Fivetran connectors and transformations using dbt Labs’ open-sourced dbt Core* to minimize data latency, monitor ELT pipelines in real time and reduce engineering time.
We talked to Dama Damjanović, Principal Engineer at N26 about how the regulations in finance and banking affect engineering teams behind fintech apps, how they can improve security, and what type of new technology will add the most value to the industry in the coming years.
The load test comparison feature build-in to LoadFocus Results allows you to compare the results of two different test runs of the same test for the cloud load testing service. You can visually compare the results between the test run set as baseline and the current test run, just by setting a test run as a baseline, and loading the other load tests runs. Baseline comparison is important because it allows to easily find differences in performance for the test runs.
ThoughtSpot provides a rich suite of APIs for search, user controls, and platform metadata. These APIs can be especially useful for sharing data with partners via webhooks, building native mobile apps, providing results in json format for third-party charting libraries like D3, or scripting ThoughtSpot configuration to support devops and continuous integration toolchains.
Customer focus is hugely important for the Appian product management team as we iterate on our solutions to keep pace with customer needs. Hearing directly from those who use the solutions every day is invaluable and offers our team insight into specific use cases and opportunities for optimization and enhancement.
