Data Quality and Quantity:
Effective AI systems require massive volumes of high-quality data. Many businesses lack the structured data required to make correct AI-based decisions. According to industry studies, data challenges account for more than 85% of AI project failures worldwide.
Lack of AI Expertise:
There is a significant global shortage of AI talent. In Bangladesh, this shortage is even more pronounced where businesses struggle to find skilled AI professionals. Globally, AI-related job postings have grown by 119% over the last five years.
High Costs and Complexity of AI Implementation:
Numerous industries face challenges to implementing AI due to high cost, infrastructure requirements, and time-consuming deployment. Adopting AI systems can cost millions of dollars, especially for SMEs.
AI Ethics and Bias:
Organizations face increasing pressure to ensure AI systems are ethical and unbiased. 62% of consumers express concerns about AI bias, making ethical AI a growing focus for businesses globally.
At AesthiTech, we address these challenges by offering AI solutions that are data-driven, ethical, and cost-effective. We tailor our services to meet the specific needs of each client, whether they are a small startup or a large enterprise, ensuring smooth AI adoption.
With our in-depth understanding of AI, we offer a comprehensive solution that meets the specific industrial difficulties that your company faces. Whether it's improving decision-making, automating processes, or offering data-driven insights, AesthiTech's AI solutions empower your business to grow and scale while adhering to ethical and sustainable principles.