Forrester IT
MAY 17, 2021
My colleague, Naveen Chhabra, wrote an excellent report in 2017, Back Up Your SaaS Data — Because Most SaaS Providers Don’t (forrester.com), which talked about how many companies have a gap in their backup strategy related to SaaS-hosted application data. While the application […].
CTOvision
SEPTEMBER 28, 2020
Companies are incorporating artificial intelligence—in particular, machine learning—into their Internet of Things applications and seeing capabilities grow, including improving operational efficiency and helping avoid unplanned […]. The IoT is getting smarter.
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Forrester IT
SEPTEMBER 9, 2020
CRM is widely used by companies both big and small. Gone are the days when it was purchased as a monolithic on-premise application. Today, it is almost exclusively deployed in the cloud. As CRM moved to the cloud, business leaders in charge of sales, service, and marketing drove the purchase.
Network World
JANUARY 15, 2025
The vendors AI Defense package offers protection to enterprise customers developing AI applications across models and cloud services, according to Tom Gillis, senior vice president and general manager of Ciscos Security, Data Center, Internet & Cloud Infrastructure groups. It uses AI to protect AI, Gillis added.
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Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes. Brought to you by Logi Analytics.
Network World
NOVEMBER 12, 2024
The F5 AI Gateway offers an automated way for customers to secure and manage interactions among AI applications, APIs, and large language models (LLMs). It’s a containerized Kubernetes service that can be deployed on its own or integrated with existing F5 software, hardware or services, the company stated.
Forrester IT
OCTOBER 27, 2022
growth in application development and quality assurance testing demand in the next 10 years. As tech companies continue to modernize through digitization, they are using unorthodox […]. Developer Demand Continues To Outgrow Available Talent The United States Bureau of Labor Statistics predicts a 22.2%
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
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Every application provider has the same goals: to help their users work more efficiently, and to drive user adoption. But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. It will show you what embedded analytics are and how they can help your company.
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Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving. .
Speaker: Patrick Dempsey and Andrew Erpelding of ZoomInfo
Advanced search: Narrow the search to find candidates using specialized filters like education, and current company technologies. Candidate and company profiles: Preview and expand search results to find a candidate's job history and career experience or a company's details.
Advertiser: Procom Services
From streamlining the job search process to efficiently navigating the influx of applications, AI-powered tools can revolutionize your recruitment efforts.
Advertiser: Data Robot
In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions.
Speaker: Nico Krüger, Senior Director of Solutions Engineering at Rollbar
Companies that use the Continuous Code Improvement approach have a compact feedback loop that tells them when there’s a code issue that needs to be fixed, fixes it, then goes back to writing and running code. In this upcoming webinar, Rollbar will teach you one way to become an elite performer: focusing on Continuous Code Improvement.
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