Leading low-code platforms like Appian, Salesforce, and OutSystems are incorporating AI to enable smarter and faster application development. Their AI and machine learning capabilities are empowering companies to build intelligent solutions.
Artificial intelligence has become ubiquitous in many aspects of modern life. AI powers technologies like virtual assistants, facial recognition, autonomous vehicles, predictive analytics, and more. As compute power and data availability increases, AI capabilities will accelerate rapidly.
Today, AI is improving efficiency and automation in areas from manufacturing to healthcare. It enables new capabilities not previously possible like real-time language translation. AI is also enhancing services like recommendation systems and personalization.
Looking ahead, AI will become more widely deployed, embedded into both hardware and software. With continued advances, AI agents will likely surpass human capabilities in an increasing number of specialized domains.
Broader adoption of AI assistants, robots, self-driving cars, and medical diagnosis technology could profoundly impact society. AI may also start rivaling human abilities in creative fields like generating music, videos, and writing.
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The Appian platform leverages AI across its low-code solutions including through Appian Intelligent Document Processing which extracts data from documents using advanced OCR and machine learning. The recently announced Appian Generative AI allows users to generate custom application components like interfaces, API calls, process flows and more through natural language prompts. Key features include:
Salesforce Einstein AI powers predictive analytics, forecasting, recommendation engines, automated workflows and more across Salesforce products. Salesforce recently unveiled Einstein GPT, its own generative AI model fine-tuned on customer service and CRM use cases which can generate workflows, emails, pricing models and other content.
OutSystems offers AI-assisted development capabilities that provide real-time recommendations during application building to improve quality. It is working on integrations with large language models like GPT-3 for auto-generating application components through simple natural language prompts.
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