Network World
JANUARY 15, 2025
Cisco has rolled out a service that promises to protect enterprise AI development projects with visibility, access control, threat defense, and other safeguards. Vulnerabilities can occur at the model- or app-level, while responsibility for security lies with different owners including developers, end users, and vendors, Gillis said.
CIO Business Intelligence
JANUARY 15, 2025
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Modernising with GenAI Modernising the application stack is therefore critical and, increasingly, businesses see GenAI as the key to success. The solutionGenAIis also the beneficiary.
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CIO Business Intelligence
OCTOBER 17, 2024
Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. It may be difficult to train developers when most junior jobs disappear.
CIO Business Intelligence
MARCH 11, 2025
Usability in application design has historically meant delivering an intuitive interface design that makes it easy for targeted users to navigate and work effectively with a system. Together these trends should inspire CIOs and their application developers to look at application usability though a different lens.
Advertiser: GEP
2024 GEP Procurement & Supply Chain Tech Trends Report — explores the biggest technological trends in procurement and supply chain, from generative AI and the advancement of low-code development tools to the data management and analytics applications that unlock agility, cost efficiency, and informed decision-making.
CIO Business Intelligence
JANUARY 23, 2025
Software developers are in demand. They must be developer-friendly because software development is not a traditional 9-to-5 job. Autonomy: The basis for innovation Autonomy is the essential element of a company that wants to create a developer-friendly work environment by expanding the scope and responsibility of employees.
CIO Business Intelligence
APRIL 1, 2025
It seems like only yesterday when software developers were on top of the world, and anyone with basic coding experience could get multiple job offers. This yesterday, however, was five to six years ago, and developers are no longer the kings and queens of the IT employment hill. An example of the new reality comes from Salesforce.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?
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. .
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In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. But with Logi Symphony, these challenges become opportunities. But with Logi Symphony, these challenges become opportunities.
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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.
Advertiser: Datadog
Containers power many of the applications we use every day. Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
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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. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.
Advertiser: Datadog
As dynamic, cloud-native environments face increasingly sophisticated security threats, the boundaries between security, development, and operations teams are beginning to fade.
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