AI business tools are transforming the marketing and sales landscape. Oracle’s generative AI tools, Adaptive ML’s custom-made gen AI, IBM’s productivity boost with Adobe AI tools, and Forbes Advisor’s selection of AI tools highlight the breadth of opportunities AI offers. While the utilization of AI brings significant advantages, it requires careful consideration and expertise to fully harness its potential.
Oracle’s New Generative AI Tools
Oracle, the renowned database technology giant, is making waves in the business world with its introduction of generative AI tools. These tools are designed to help businesses enhance their financial operations, human resources management, and supply chain processes. By leveraging generative AI, Oracle aims to increase productivity, reduce costs, expand insights, and improve the overall employee and customer experience.
The generative AI features offered by Oracle provide customers with over 50 ways to harness the power of this technology, which is similar to the one used by OpenAI’s GPT-4. Finance professionals can now gain a better understanding of business trends and forecasts, program managers can optimize project planning, and product specialists can generate SEO-friendly product descriptions. Even call center employees can benefit from these tools as they help summarize interactions with customers.
Furthermore, Oracle sees this development as an opportunity to strengthen its competition with Microsoft and other technology firms that are utilizing AI tools to cater to their enterprise customers. By introducing generative AI tools, Oracle aims to provide businesses with a distinct advantage in terms of efficiency, accuracy, and ultimately, growth.
Adaptive ML’s Custom-made gen AI
Another player in the AI business tools arena is Adaptive ML, an AI startup that recently closed a $20 million seed round. The company plans to utilize this funding to build custom-made generative AI models specifically tailored for businesses. The round was led by Index Ventures, with participation from various investors such as ICONIQ, Motier Ventures, and VC IRIS. The company has also gained support from influential individuals like billionaire Xavier Niel and HuggingFace founder Clément Delangue.
Adaptive ML’s unique approach involves leveraging open-source generative AI models, such as Meta’s Llama and Mistral’s 7B, to create tools that are customized to meet the specific needs of businesses. Unlike generic one-size-fits-all models, Adaptive ML’s personalized models are designed to optimize enterprises’ individual use cases. This approach enables businesses to achieve greater productivity, improve user experience, and drive better business outcomes.
Moreover, Adaptive ML plans to continually improve its models by integrating user feedback. By learning from every interaction with users, these personalized models can deliver unique experiences tailored to individual users. This continuous learning process is particularly relevant for applications related to customer service or research and development assistants.
IBM’s Productivity Boost with Adobe AI Tools
International Business Machines (IBM) has recently tested generative AI tools developed by Adobe. The initial results of this collaboration have shown significant improvements in productivity. IBM is utilizing Adobe’s tools, which can generate images based on text-based prompts, to aid marketing campaigns. This early testing demonstrates Adobe’s strategy to create AI systems trained on its proprietary data, ensuring legal guarantees against lawsuits.
IBM’s global chief design officer, Billy Seabrook, reported that designers in his unit were able to generate ideas quickly and create variants for different parts of marketing campaigns using Adobe’s tools. This streamlined process has drastically reduced the typical two-week timeline for an end-to-end cycle to just two days.
As a result, IBM expects a tenfold increase in the productivity of its designers, allowing them to focus more on brainstorming and creating storyboards.
While there may be concerns about the potential impact on employment, Seabrook stated that the short-term effect on the design industry is likely to involve existing teams taking on additional work. The survey data compiled by IBM suggests that business leaders recognize the increased importance of designers. They play a crucial role in quality-checking and curating the output of generative AI, providing empathy and expertise that help train and fine-tune the AI systems.
Forbes Advisor’s 10 AI Tools for Business
Artificial intelligence (AI) has immense potential to revolutionize the day-to-day workplace experience. Forbes Advisor highlights ten AI tools that businesses can leverage to elevate their operations. Among these tools, ChatGPT stands out as an advanced AI-powered language model designed for generating natural language responses in conversational settings. DALL-E, on the other hand, extends AI capabilities to the visual realm by generating images based on textual prompts.
AI tools are not limited to marketing and sales; they also benefit other aspects of business operations. Qualifier.ai streamlines prospecting, Apollo.io offers data intelligence and sales engagement, Drift utilizes conversational AI for customer support, and NICE CXone SmartAssist employs chatbots for text or voice interactions. HR departments can benefit from tools like Leena AI, which automates HR service delivery, and Fetcher.ai, which automates recruiting tasks.
However, it’s important to acknowledge the potential pitfalls of AI utilization. Ethical and legal concerns, the phenomenon of AI “hallucinations,” and the risk of copyright infringement are significant factors to consider. Each business must evaluate whether AI tools align with their specific needs and challenges, considering the associated investment and risk factors.
