Low-Code Acceleration, Generative Growth, and Customizable Insights: Emerging AI Trends to Democratize, Disrupt, and Optimize
How Low-Code, Responsible Innovation, and Specialized AI Are Driving Collaboration, Transformation, and Competitive Advantage
The Role of Low-Code Platforms in AI Software Development
- Low-code platforms accelerate AI development by providing ready-made large language models (LLMs)
- Assess business needs and data first to choose the right LLM
- Low-code enables quicker experimentation/comparison of AI models
- Leverage existing expertise while evaluating model transparency, biases, security
- LLMs will balance industry/task specificity with flexibility for customizable AI
- Low-code facilitates collaboration between domain experts, developers, ML engineers
The Wild Ride of Generative AI in 2023
- ChatGPT hit 100M users in 2 months, fastest growing consumer app ever
- Investors poured $27B into AI startups as Big Tech raced for dominance
- In March, AI experts warned of existential risk from unchecked AI progress
- Consultancy PwC estimates $15.7T global economic impact from AI by 2030
- Chipmaker Nvidia became a trillion-dollar company due to AI demand
- OpenAI CEO clashed with critics before brief ouster and fast restoration
- Global regulators to establish AI guardrails in 2024
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RiskOn and Meetkai Launch Generative AI Platform "askROI"
- RiskOn partners with Meetkai to launch askROI generative AI platform
- Designed to improve business data access/management with tailored AI
- Announced pilot with solutions provider Effvision for user feedback
- Effvision CEO expressed excitement to transform operations with askROI
- Accepting early pilot participants to demonstrate ROI for adopters
- Partnerships exhibit RiskOn's commitment to leading-edge AI
The Role of Low-Code Platforms in AI Software Development
The article discusses how low-code platforms can accelerate AI software development by providing ready-made large language models (LLMs) like GPT and BERT rather than building custom models from scratch. It notes the importance of assessing business needs and data sources first to choose the right LLM. Low-code tools allow quicker experimentation and comparison of different models. The author advises leveraging existing expertise via low-code while still evaluating model transparency, potential biases, and security issues like injection attacks. Going forward, LLMs will balance industry/task-specificity with flexibility to enable customizable AI solutions. Overall, low-code facilitates collaboration between domain experts, software developers and ML engineers to produce AI systems attuned to real-world needs faster.
The Wild Ride of Generative AI in 2023
In 2023, generative AI exploded in popularity, reaching 100 million ChatGPT users in just 2 months. Its creative potential thrilled many even as its mistakes raised concerns. Investors poured $27 billion into startups as Big Tech raced for dominance. In March, AI experts including Elon Musk warned of existential risk from unchecked AI progress, evoking comparisons to the atomic bomb. Consultancy PwC estimates a $15.7 trillion global economic impact from AI by 2030, with winners and losers split across socioeconomic lines. Chipmaker Nvidia became a trillion-dollar company. OpenAI CEO Sam Altman's push for commercialization clashed with skeptics, leading to his brief ouster in November and restoration days later. Looking ahead, regulators globally will establish AI guardrails in 2024 as deployments spread to areas like misinformation and political campaigning. The year promises continued debate on AI's risks and rewards as its societal imprint expands exponentially.
RiskOn and Meetkai Launch Generative AI Platform "askROI"
RiskOn International has partnered with AI company Meetkai to launch "askROI", an innovative generative AI platform designed to improve data access and management for businesses. Led by Meetkai CEO James Kaplan, askROI builds on Meetkai's existing domain-specific AI capabilities to provide organizations with tailored, integrated AI solutions grounded in their own data and processes. The companies also announced a pilot program with technology solutions provider Effvision to further develop askROI based on user feedback. Effvision CEO Adam Alfi expressed excitement to explore askROI's possibilities in transforming business operations. With askROI now accepting early pilot participants, the initial launches aim to demonstrate direct return on investment for adopters of the AI tool nationwide. The partnerships exhibit RiskOn's commitment to leveraging leading-edge AI to unlock new value.
DEEPX's Breakthrough AI Chip Deployed in Over 40 Companies
DEEPX, an AI semiconductor company, announced its flagship DX-M1 chip has been deployed for trials by over 40 global customers across industries like robotics, autonomous vehicles, and security systems. The energy-efficient DX-M1 uniquely combines high performance, low power consumption, and cost-effectiveness. Through an Early Engagement Customer Program, customers can integrate the accelerator into products and tap DEEPX's support to enable AI innovations. With applications spanning embedded devices, DX-M1 drives the AI of Things revolution. Its prowess earned DX-M1 honors at CES 2024 for embedded technology and robotics. DEEPX is expanding globally, with collaborations underway in Korea and promotions centered on the U.S., China and Taiwan. By making AI ubiquitous like electricity, DEEPX aims to power intelligent devices through optimal AI silicon solutions. The DX-M1's widespread testing signals its potential as a game-changing AI offering.
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