How to Make AI Work for You, and Why It Won’t Replace Software Engineering

Dr. Kendra Vant is an AI leader and a huge advocate for the responsible use and innovation of AI. She’s studied quantum physics at MIT, she’s Xero’s former data and AI product division lead, and she’s an experienced AI adviser for boards and startups. The key component of Spectrum-X is the NVIDIA Spectrum-4 Ethernet switch, which delivers high-throughput, low-latency networking with support for up to 51.2 terabits per second of switching capacity. This switch is complemented by NVIDIA’s BlueField-3 data processing unit (DPU), which offloads networking, storage, and security tasks from the CPU, freeing up resources for AI computation. This combination allows for highly efficient data transfer between nodes in a data center, reducing bottlenecks and improving the overall performance of AI models during training and inference.

“It’s not just the cost of AI, it’s the cost of applications they’re already running in their business,” said LeHong. There are some things that only you, or a resume writer working with you, would be able to convey in your resume. For example, recent market and industry trends, role-specific or industry-specific jargon, and the priorities and values of the company advertizing the role will not be factored into your resume. In addition, the context of your career, especially if it is an unconventional one, will require a unique approach and may call for slightly different wording. All of this may be painfully evident if your resume is not customized to adapt to this. In the age of AI, large data sets – like the treasure trove of customer data most biopharma companies are sitting on – are an invaluable asset.

Maybe not to the level needed to justify some of the current tech valuations, but certainly at a scale that will disrupt companies’ historical budget allocations. It will include all the money needed to reengineer business processes and restructure organizations. For many companies, these other ChatGPT App costs likely will exceed the technology costs. During my informal talks with UiPath customers, I found a strong interest in AI agents, and a basic alignment with UiPath’s direction. And yet – this comes as no surprise – there are plenty of questions on how this will work under the hood.

UiPath Forward – where does agentic AI go from here, and is RPA still relevant?

On the one hand, companies are in a race to innovate, driven by market pressures and the fear of being left behind. On the other, the need to slow down and think about the ethical implications of technology is greater than ever. When we think of artificial intelligence (AI) and innovation, “responsibility” and “ethics” may not be the first words that come to mind. But as industries accelerate their adoption of AI, these elements are no longer just nice-to-haves—they are essential, argue Lucio Ribeiro and Vijay Solanki, who report on the key messages from the first InnovAItor event.

• Additionally, with the introduction of AI Studio for developers, Apple is encouraging third-party app creators to integrate these AI capabilities into their own apps, further extending the reach of Apple Intelligence.
• By building a strong set of principles from the start, companies — whether startups or established enterprises — can create trust and credibility, two invaluable assets in today’s digital age.
• “It’s not just about how we build software, it’s about what kind of software we build,” according to Walsh, noting that only 54% of AI projects are successfully deployed.
• “One of the reasons that governance is so difficult in this market is that for those who are in charge of governance, it’s even unclear what their agreement is with their scope or the scale, or what’s underneath them,” Karamouzis said.

Additionally, Vertex AI Grounding’s AI Studio offers enterprises a hands-on approach to building, testing, and deploying customized AI models with enhanced privacy controls. AI Studio enables organizations to experiment with different levels of model customization and quickly implement grounding mechanisms for their specific needs. This contrasts sharply with the “one-size-fits-all” nature of many public AI models. AI Studio, combined with grounding and the Google Search integration, gives businesses a highly flexible AI platform that not only respects privacy but also maximizes the usability and impact of generative AI. As data security continues to be a critical issue, Google’s push with Vertex AI Grounding stands out as a solution that some very important customers would like to have. Very soon, large orgs will have their own datasets examined by their own models, which is an exciting future to look forward.

artificial intelligence

The key advantage here is that while companies are using their own proprietary data, they also benefit from the latest and most reliable information available on the web. This hybrid approach ensures that AI models not only understand internal datasets but also contextualize them with broader, real-time information, improving the depth and quality of outputs. This is a significant differentiator compared to other ChatGPT generative AI models that may rely solely on static or outdated training datasets. The “multi-model” CoPilot is truly one of its kind, marking the first time a Microsoft product incorporates AI models from competing tech giants like Google and Anthropic, which have demonstrated strong capabilities in the domain of programming. Still, enterprise leaders understand how instrumental AI will be going forward.

• Anyone who’s worked in marketing knows that it takes a lot of different tech components (e.g. the marketing tech stack) to support marketing’s business needs.
• The key is finding a way to innovate without compromising ethical standards — a balance that requires transparency, accountability, and ongoing dialogue.
• He noted that in most cases, AI will replace tasks not jobs, but that we still will need to manage expectations while limiting the fear and training people on how to use the tools.
• She talked about creating “opportunity radars” of specific applications and shared one in manufacturing.
• Clone Robotics is making waves in the world of robotics with the release of their bimanual musculoskeletal torso, a highly advanced robot that closely mimics human movements and dexterity.

For AI, companies should expect similar dynamic and not assume that a single Large Language Model (LLM) from OpenAI, Meta, Google, etc. will be sufficient. What will be required will be based on the specific business needs and use cases. The first is that the costs to develop and implement AI solutions are going to be material.

And so we really think it’s an evolution of the AI architecture, but we also think it’s agents plus LLMs plus robots. This is why I was less agitated by the AI agent festival at UiPath Forward. UiPath has greater clarity than most vendors about why conventional automation still has a role to play. Even better, they have a vast catalog of enterprise automations that customers can use (or build) AI agents to trigger.

For corporates, it’s about using their resources and influence to lead by example, showing how responsible innovation can drive not just profit but positive impact. It’s also not just about ticking a compliance box; it’s about creating a long-term competitive advantage. Whether you’re a startup founder or a corporate executive, responsible innovation is an opportunity to build better, smarter, and more human-centric technology. By building a strong set of principles from the start, companies — whether startups or established enterprises — can create trust and credibility, two invaluable assets in today’s digital age. Autodesk has unveiled Wonder, a new technology that allows users to transform video footage into interactive 3D scenes. This innovation is aimed at animators, game developers, and creative professionals who want to quickly convert real-world motion into detailed 3D environments.

Its mix of customization, real-time interaction, and design templates makes high-quality design more accessible, making it easier for both professionals and enthusiasts to achieve cohesive, polished results efficiently. This evolution of GitHub CoPilot comes with an emphasis on providing developers with choices and bringing multiple AI capabilities under one roof. GitHub’s move not only expands its AI offerings but also positions CoPilot as a highly versatile tool, capable of meeting different developer preferences. The integration of these various AI models empowers developers to leverage unique strengths from different AI ecosystems, allowing for better suggestions, more efficient coding, and a streamlined development experience. By integrating models like Google’s Gemini and Anthropic’s Claude, GitHub demonstrates a shift towards providing developers with the best AI tools available, regardless of the originating company. Also, “the fight for talent is real” — consider the acqui-hiring models — and enterprises underestimate the amount of change management.

The Neural Engine is designed to accelerate the processing of AI tasks, making complex features such as real-time language translation or intelligent photo editing faster and more energy-efficient. Additionally, with the introduction of AI Studio for developers, Apple is encouraging third-party app creators to integrate these AI capabilities into their own apps, further extending the reach of Apple Intelligence. This move not only empowers developers but also positions Apple Intelligence as a leader in seamlessly integrating AI into both everyday use and professional workflows. For start-ups, building a solid foundation of ethical principles from the get-go ensures that they don’t find themselves scrambling to fix problems later.

He said today’s tools are not pair programmers, because they hallucinate and show sycophancy and anchoring bias. Finally, he talked about responsible AI, including ethics, security, governance, and sustainability. AI has been good at solving complex problems, he said, and we need elegant programming to solve these challenges.

While it certainly has tremendous advantages, it is essential to bear in mind that AI does have some limitations and won’t achieve stellar results on its own. You can spend significant effort crafting GenAI strategy, changing processes, and skills, but none of that matters if your employees aren’t using the technology. “We’ve created an adoption framework to propel organisations toward success,” said Singh. Inspire and rally your teams by clarifying the impact of these initiatives, and communicate that vision multiple times across various levels,” Singh added. Axtria helps life sciences companies harness the potential of data and software to improve patient outcomes by connecting the right therapies to the right patients at the right time.

After all, it will be a few more years before vendors completely turn their keynotes over to robots. I’m out of time and space with details yet to cover; stay tuned for my UiPath AI under-the-hood special. During his keynote, Dines used the example of an AI agent that generates and proposes air travel itineraries.

Why Meta, And Why Now?

Users can iteratively adjust aspects such as lighting or proportions, with real-time responses from the AI. This collaboration is especially beneficial for rapid prototyping and allows for seamless refinement of creative ideas. Design Templates are also available, offering pre-configured styles like minimalist what is a key differentiator of conversational ai web interfaces or modern architecture, providing a starting point that can be customized to specific needs. Clone Robotics is making waves in the world of robotics with the release of their bimanual musculoskeletal torso, a highly advanced robot that closely mimics human movements and dexterity.

With over 25 years of experience, his expertise spans developing AI/GenAI strategies and roadmaps, building high-performing teams, and establishing AI/GenAI and MLOps/LLMOps capabilities. You can foun additiona information about ai customer service and artificial intelligence and NLP. Chakraborty’s leadership has been instrumental in driving the adoption and monetisation of AI technologies across various business units. Earlier in his career, he co-founded an AI consulting firm, growing it to 250 professionals before a successful exit. Chakraborty also holds two patents in algorithms and data observability and is recognised as a thought leader in the industry. He is passionate about mentoring the next generation of AI leaders and fostering a culture of innovation.

PCMag.com is a leading authority on technology, delivering lab-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology. Most organizations will end up with some solutions they buy, and some they build, and this will impact governance.

Once objectives are aligned and a data strategy is laid out, Singh says the next step is accelerating GenAI value. That often requires a change in how a gets work done…or your operating model. “We’ve seen that GenAI can deliver 30% to 50% gains in efficiency and effectiveness when you effectively reshape processes and functions,” Singh revealed. The cost of integrating and managing all this data can become significantly higher. “Given the generative capabilities of GenAI, there’s a need to explore ways of generating content automatically, faster, and at lower cost,” he said. Scale AI has fine-tuned Llama for national security, focusing on operational planning and identifying adversarial vulnerabilities.

Dr Vant shared a personal anecdote from her time at Xero, where AI was introduced to help automate tedious financial tasks. It was a win for efficiency, but also a stark reminder of how quickly jobs could be disrupted without careful consideration of the human element. This integration also introduces a layer of transparency, as users can see where the information is sourced from. By blending the generative AI capabilities of ChatGPT with the vast and dynamic knowledge of the web, OpenAI is enhancing the depth, accuracy, and reliability of the responses provided. This hybrid approach offers a powerful tool for anyone seeking a combination of conversational assistance and live information, whether for professional research, travel planning, or staying informed on current affairs. It marks an important evolution in the way AI can be used to interact with and make sense of the ever-changing world.

According to the State Department, MCF is a national strategy aimed at integrating the civilian and military sectors in China to enhance the capabilities of the People’s Liberation Army. Is it a stretch to imagine that the fruits of those massive investments in advanced tech would be used militarily? Meta is enabling use of its Llama AI models for defense and national-security purposes for the U.S. … First, we will augment existing work patterns, then we’ll start to push the boundaries, and then we will break through them and create new innovative and more complex solutions, which will required highly talented designers, engineers, and architects. He noted that calculators did not eliminate the need to learn mathematics, because math isn’t calculation, it’s problem solving. Likewise, he said, software engineering transcends coding, saying the real skill of software engineers is their creative and critical thinking abilities.

Even more important, AI allows for then using these emotional insights in your digital marketing. Imagine being able to adjust how much you pay for an impression based on whether someone has the most optimal emotional profile for your brand. That’s not just an innovative dream, that’s now becoming a reality with AI. Sudip Chakraborty is the Head of AI/GenAI at Axtria, where he advises pharma clients on leveraging AI and GenAI to drive business outcomes, leading to measurable improvements in productivity and efficiency.

For most, she said, you should start with selecting a series of three to six use cases that all more or less use the same technique. Once you understand one case, the others will go faster, and you’ll be able to determine which ones pan out and which do not. Next is investing in data and AI literacy, since so many knowledge workers will be using gen AI tools in the next few years, including things like prompt engineering and understanding what AI is good at and where it has issues. He agreed that “it’s important to know when to use AI and also when not to use gen AI.” Then, he said, you’ll want robust data engineering practices, including tools for integrating your data with gen AI models. To build an application, he said, you’ll want a composable platform architecture, in part so you can use the model that is the most cost-effective at any point in time. Then you’ll want a “responsible AI” initiative including data privacy, model safety including “red teaming,” explainability, and fairness.

For instance, he said, people might save 30 minutes a week, and initially spend that time getting coffee. But the next week they will spend less time, and within a few weeks, they’ll only spend 15 minutes at the coffee machine, but also talking with colleagues and learning from them. In another session, Karamouzis discussed measuring and quantifying the cost, risk, and value of AI initiatives. She noted that 73% of CxOs are planning to increase spending on AI in 2024, but noted that there is a low success rate in AI projects, often because the leadership is not ready.