Navigating the AI Development Landscape: Opportunities and Challenges Ahead
December 6, 2024, 4:13 pm
Location: Denmark, Capital Region of Denmark, Kongens Lyngby
Employees: 51-200
Founded date: 2016
Total raised: $24.6M
The world of application development is changing. Like a river carving its path through rock, AI is reshaping how we build software. Recent studies reveal that while many IT professionals are eager to harness the power of Generative AI (GenAI), they face significant hurdles. Security concerns, governance issues, and a shortage of skilled talent loom large over the landscape.
According to a recent report by OutSystems, a staggering 88% of IT professionals are exploring GenAI for app development. However, the enthusiasm is tempered by caution. A significant 62% of respondents express worries about security and governance. It’s a double-edged sword: GenAI can accelerate development but also introduce risks if not managed properly.
The demand for applications is skyrocketing. Nearly three-quarters of IT professionals anticipate building ten or more apps in the next year. This urgency is palpable. Organizations are under pressure to deliver customer-facing applications at breakneck speed. Yet, the tools they rely on may not be ready for the challenge.
OutSystems highlights that while 81% of developers are using GenAI to assist with coding, half of them report difficulties integrating these technologies into existing workflows. Trust in AI-generated code is shaky, with only 40% feeling confident enough to let it run without human oversight. It’s like handing the keys to a car to a teenager—exciting but fraught with potential mishaps.
The accuracy of GenAI tools is another concern. Studies show that these tools generate correct code only about 65% of the time. Some tools dip as low as 31%. This inconsistency raises questions about reliability. Developers need tools that work, not ones that add to their headaches.
In this high-stakes environment, low-code development emerges as a beacon of hope. It promises predictability, productivity, and cost-effectiveness. Organizations using low-code report increased developer productivity and faster time to market. It’s like having a turbocharger for your development process. The benefits are clear: 62% of low-code users can predict their budgets consistently, compared to just 52% of traditional coders.
OutSystems has introduced a solution called OutSystems Mentor. This digital worker integrates low-code and GenAI, allowing teams to generate fully functional apps in minutes. It’s a game-changer. With Mentor, organizations can maintain control and governance throughout the software development lifecycle. This blend of speed and oversight is crucial in today’s fast-paced market.
Meanwhile, SurePath AI is addressing another facet of the AI landscape. Their new offering, SurePath AI Discovery, launched at AWS re:Invent, aims to provide visibility into how employees use public AI services. This tool classifies AI use by intent and identifies sensitive data violations. It’s like having a security guard at the entrance of a club, ensuring only the right people get in.
SurePath AI Discovery helps organizations understand the volume and risk of AI usage. It offers customized reports that pinpoint significant risks and evaluate the ROI of GenAI investments. This level of insight is invaluable for companies navigating the murky waters of AI governance.
The collaboration between SurePath AI and its partners enhances the value of this offering. By integrating with platforms like Netskope and Palo Alto Networks, SurePath AI Discovery operates seamlessly across various environments. It’s a partner-first approach, empowering system integrators and managed service providers to deliver tailored solutions to their clients.
As enterprises grapple with the rapid evolution of AI, the need for robust governance becomes paramount. SurePath AI fills a critical gap by providing actionable insights that drive security and efficiency. This proactive stance allows businesses to harness the full potential of their AI investments while safeguarding sensitive data.
The road ahead is not without its challenges. The combination of a talent shortage and the complexities of integrating AI into existing workflows creates a perfect storm. Organizations must navigate these waters carefully. They need to balance the desire for speed with the necessity of security.
In conclusion, the landscape of application development is at a crossroads. The allure of GenAI is undeniable, but it comes with strings attached. Companies must tread carefully, ensuring they have the right tools and governance in place. Low-code development offers a promising path forward, while solutions like SurePath AI Discovery provide the oversight needed to navigate the complexities of AI usage.
As we move into this new era, the key will be adaptability. Organizations that can pivot quickly, embrace new technologies, and maintain a focus on security will thrive. The future of application development is bright, but it requires vigilance and a willingness to innovate. The river of AI will continue to carve its path, and those who can ride its currents will emerge as leaders in the digital age.
According to a recent report by OutSystems, a staggering 88% of IT professionals are exploring GenAI for app development. However, the enthusiasm is tempered by caution. A significant 62% of respondents express worries about security and governance. It’s a double-edged sword: GenAI can accelerate development but also introduce risks if not managed properly.
The demand for applications is skyrocketing. Nearly three-quarters of IT professionals anticipate building ten or more apps in the next year. This urgency is palpable. Organizations are under pressure to deliver customer-facing applications at breakneck speed. Yet, the tools they rely on may not be ready for the challenge.
OutSystems highlights that while 81% of developers are using GenAI to assist with coding, half of them report difficulties integrating these technologies into existing workflows. Trust in AI-generated code is shaky, with only 40% feeling confident enough to let it run without human oversight. It’s like handing the keys to a car to a teenager—exciting but fraught with potential mishaps.
The accuracy of GenAI tools is another concern. Studies show that these tools generate correct code only about 65% of the time. Some tools dip as low as 31%. This inconsistency raises questions about reliability. Developers need tools that work, not ones that add to their headaches.
In this high-stakes environment, low-code development emerges as a beacon of hope. It promises predictability, productivity, and cost-effectiveness. Organizations using low-code report increased developer productivity and faster time to market. It’s like having a turbocharger for your development process. The benefits are clear: 62% of low-code users can predict their budgets consistently, compared to just 52% of traditional coders.
OutSystems has introduced a solution called OutSystems Mentor. This digital worker integrates low-code and GenAI, allowing teams to generate fully functional apps in minutes. It’s a game-changer. With Mentor, organizations can maintain control and governance throughout the software development lifecycle. This blend of speed and oversight is crucial in today’s fast-paced market.
Meanwhile, SurePath AI is addressing another facet of the AI landscape. Their new offering, SurePath AI Discovery, launched at AWS re:Invent, aims to provide visibility into how employees use public AI services. This tool classifies AI use by intent and identifies sensitive data violations. It’s like having a security guard at the entrance of a club, ensuring only the right people get in.
SurePath AI Discovery helps organizations understand the volume and risk of AI usage. It offers customized reports that pinpoint significant risks and evaluate the ROI of GenAI investments. This level of insight is invaluable for companies navigating the murky waters of AI governance.
The collaboration between SurePath AI and its partners enhances the value of this offering. By integrating with platforms like Netskope and Palo Alto Networks, SurePath AI Discovery operates seamlessly across various environments. It’s a partner-first approach, empowering system integrators and managed service providers to deliver tailored solutions to their clients.
As enterprises grapple with the rapid evolution of AI, the need for robust governance becomes paramount. SurePath AI fills a critical gap by providing actionable insights that drive security and efficiency. This proactive stance allows businesses to harness the full potential of their AI investments while safeguarding sensitive data.
The road ahead is not without its challenges. The combination of a talent shortage and the complexities of integrating AI into existing workflows creates a perfect storm. Organizations must navigate these waters carefully. They need to balance the desire for speed with the necessity of security.
In conclusion, the landscape of application development is at a crossroads. The allure of GenAI is undeniable, but it comes with strings attached. Companies must tread carefully, ensuring they have the right tools and governance in place. Low-code development offers a promising path forward, while solutions like SurePath AI Discovery provide the oversight needed to navigate the complexities of AI usage.
As we move into this new era, the key will be adaptability. Organizations that can pivot quickly, embrace new technologies, and maintain a focus on security will thrive. The future of application development is bright, but it requires vigilance and a willingness to innovate. The river of AI will continue to carve its path, and those who can ride its currents will emerge as leaders in the digital age.