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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.
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. Some companies are already on the bandwagon. Gen AI tools are advancing quickly, he says.
Software developers are in demand. This makes it necessary for companies to position themselves as an attractive employer. They must be developer-friendly because software development is not a traditional 9-to-5 job. This ensures a broad spectrum of expertise and skills for developing innovative solutions.
CIOs worried about where the money for new AI initiatives will come from may have some help on the way, with some companies apparently selling off non-core assets to pay for new AI projects. AI is both a huge potential gamechanger for many companies and a huge expense to get right, he says.
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.
To thrive in todays business environment, companies must align their technological and cultural foundations with their ultimate goals. The phrase every company is a tech company gets thrown around a lot, but what does that actually mean? To us, its not just about using technology its about thinking like a tech company.
Altera has introduced the latest family of Agilex FPGAs, along with Quartus Prime Pro software, and FPGA AI Suite to enable the rapid development of highly customized embedded systems for use in robotics, factory automation systems, and medical equipment. For AI developers, Altera has upgraded its FPGA AI Suite to release 25.1,
Less than 10% of the FTSE 500 companies that existed fifty years ago are still around today and less than half of the companies founded since 2000 are still operating. Company executives are well aware that their businesses need to adapt to keep up with the rapid transformation now taking place.
Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. Its used for web development, multithreading and concurrency, QA testing, developing cloud and microservices, and database integration.
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. .
billion in 2026 though the top use case for the next couple of years will remain research and development in quantum computing. This means that they have developed an application that shows an advantage over a classical approach though not necessarily one that is fully rolled out and commercially viable at scale.
Cisco’s second annual AI Readiness Index notes a “huge chasm” between the urgency companies feel to deploy AI and their ability to actually do it. Some 8,000 global companies were surveyed for the AI Readiness Index, which aims to measure how prepared organizations are to invest in, deploy and use AI.
Cisco is now offering its AppDynamics application management suite as part of Microsoft Azure cloud services. AppDynamics is Cisco’s core application management suite, providing real-time monitoring of application response times, error rates, and resource utilization, among other capabilities.
No company has both driven and benefited from AI advancements more than Nvidia. Expect GTC 2025 to further solidify Nvidias position as an AI leader as it showcases practical applications of generative AI, moving beyond theoretical concepts to real-world implementations. You can also expect a focus on edge AI.
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.
One of the oldest and largest oil and gas companies in the world, bp is in the midst of a major transition as it pivots toward becoming an integrated energy company. As part of this transition, the company is aiming for a net-zero carbon footprint by 2050. If we are lagging and just playing catch-up, we might as well buy it.
As 2025 kicked off, I wrote a column about the network vendor landscape specifically, which networking players will step up and put their efforts into finding new applications with solid business benefits that could enable a network transformation. For those, developer and integrator partners are needed. What stands in the way?
If 2023 was the year of experimentation with gen AI, 2024 was when companies zeroed in on use cases and started putting pilot projects into production. Only 14% say theyre losing money, and 66% of companies plan to increase their AI investments compared to 5% that plan to decrease it. And then there are guardrail considerations.
Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly. Software development and IT Cognition released Devin, billed as the worlds first AI software engineer, in March last year.
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.
Since qubits quantum bits are notoriously unstable, quantum computer companies use redundancy to improve accuracy, with multiple physical qubits combining into a single logical qubit. QuEra is a quantum computing company that uses the neutral ions approach to building qubits, in contrast to Googles superconducting circuits approach.
HPE said it would add features to its Nvidia co-developed Private Cloud AI package, which integrates Nvidia GPUs, networks, and software with HPEs AI memory, computing and GreenLake cloud support. The developers edition is designed as an accessible starting point for AI development capabilities.
The deal represents a critical endorsement of HPEs technology as the company reportedly edged out leading competitors Dell and Supermicro. HPE declined to comment to Network World on the development. This new partnership between X and HPE could potentially fuel Musks vision of integrating advanced AI capabilities into his companies.
The excitement has faded so much that the IT analyst firm may not release another hype cycle chart for blockchain, says Adrian Leow, vice president in Gartners applications and software engineering leaders group. It hasnt yet delivered practical benefits at scale, says Salome Mikadze, co-founder at software development firm Movadex.
Interest in AI has exploded over the last two or three years, but enterprises are only just beginning to think about how theyre going to take advantage of it, Cisco CEO Chuck Robbins told the audience at the companys recent AI Summit. Customer service is a real common application. We were talking about contact center.
More than $1 trillion was wiped off US technology stocks with frontier model developers such as OpenAI, Alphabet, and Meta caught off guard by this Chinese startup. Despite controversy about the models development, DeepSeek has greatly accelerated the commoditization of AI models.
While the 60-year-old mainframe platform wasn’t created to run AI workloads, 86% of business and IT leaders surveyed by Kyndryl say they are deploying, or plan to deploy, AI tools or applications on their mainframes. How do you make the right choice for whatever application that you have?” I believe you’re going to see both.”
After all, a low-risk annoyance in a key application can become a sizable boulder when the app requires modernization to support a digital transformation initiative. Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture.
However, many face challenges finding the right IT environment and AI applications for their business due to a lack of established frameworks. Currently, enterprises primarily use AI for generative video, text, and image applications, as well as enhancing virtual assistance and customer support.
Dun and Bradstreet has been using AI and ML for years, and that includes gen AI, says Michael Manos, the companys CTO. But not every company can say the same. Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development.
Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. Vibram certainly isn’t an isolated case of a company growing its business through tools made available by the CIO.
Analysts generally praised the rollouts, saying that the company is trying to make things a little easier to use AWS. Updates to storage optimized EC2 instances is a plus for companies with growing low latency data needs.” More directly is that 20% better price-performance number that the company quotes.
Skill mismatches ( 31% ) and inadequate training and development opportunities ( 29% ) underscore the demand for talent as well as the difficulty in finding candidates with the right skills. Organizations have adopted several strategies to acquire and develop talent, as illustrated in the bar chart below.
As part of this expansion, IBM is integrating its watsonx development platform with Nvidia Inference Microservices (NIM) software, the companies announced at Nvidias GTC conference. The idea is to let customers responsibly scale and enhance AI applications like retrieval-augmented generation (RAG) and AI reasoning, IBM stated.
Culture is the only thing you really own about your company. I created a function that would report directly to me from our design and user experience department, which would provide me with information to integrate with the development teams, Previn said. They can steal your technology, but not your philosophy, Previn warned.
of the Fortune 500 companies have women CEOs. In an AP survey of S&P 500 companies, only 25 of 341 CEOs were women. The Women in Tech organization reports that 17% of tech companies have a woman CEO, and only 25% of all C-suite jobs are held by women. Several went out and started their own company. Only 10.4%
Multiple standards and certification efforts made progress in 2024, helping networks to be more reliable and deliver more bandwidth.One of the most significant developments was the maturation of 800 Gigabit Ethernet (800GbE). The IEEE P802.3df taskforce released version 1.0 of the 800GbE specification on Feb.
NextHop AI, founded by former Arista Networks Chief Operating Officer Anshul Sadana, announced this week that it has secured $110 million in funding to develop highly customized networking solutions specifically for the worlds largest cloud providers. Today, whats happening is the cloud companies have their own operating system, Sadana said.
To keep up, IT must be able to rapidly design and deliver application architectures that not only meet the business needs of the company but also meet data recovery and compliance mandates. It’s a tall order, because as technologies, business needs, and applications change, so must the environments where they are deployed.
The goal of the Kyndryl/Google Cloud service is to make it easier for organizations to utilize AI assistance to access and integrate mainframe-based data with cloud-based resources and combine that data with other information to build new applications, the companies stated.
Less than 10% of the FTSE 500 companies that existed fifty years ago are still around today and less than half of the companies founded since 2000 are still operating. Company executives are well aware that their businesses need to adapt to keep up with the rapid transformation now taking place.
The conference, the first after Broadcom’s acquisition of VMware, highlighted the growing trend of companies bringing workloads back from public clouds to on-premises environments. Despite the interest in private, the cloud migration is still a hot topic. VMware Explore 2024 Broadcom bolsters VMware Cloud Foundation Nov.
The program, known as Project Transcendence, marks a significant push by the Kingdom to develop a robust AI ecosystem that can rival leading tech hubs, including neighbouring United Arab Emirates and other global technology centers. One of the initiative’s cornerstone partnerships involves Alphabet’s Google.
Global professional services firm Marsh McLennan has roughly 40 gen AI applications in production , and CIO Paul Beswick expects the number to soar as demonstrated efficiencies and profit-making innovations sell the C-suite. Enterprises are also choosing cloud for AI to leverage the ecosystem of partnerships,” McCarthy notes.
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