Doing AI Even Before AI Said Hi to the World – Akaike Technologies

As an AI-native company, Akaike Technologies offers comprehensive and sustainable AI solutions that resolve these challenges while catering to the unique needs of each business.

Generative AI

Decision-making

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Introduction

Advancements in artificial intelligence (AI) are transforming the way organizations operate, offering opportunities for small, mid-sized, and large businesses to significantly improve their productivity.

With AI, small businesses can streamline processes, reduce costs, and improve customer experiences, making it easier to stay competitive in an increasingly crowded marketplace. AI helps medium-sized and large organizations by automating processes, analyzing data for insights, and improving decision-making processes, leading to increased efficiency and productivity.

However, AI adoption doesn’t come without its fair share of challenges, like cost and complexity, resistance to change, data quality, and security issues. As an AI-native company, Akaike Technologies offers comprehensive and sustainable AI solutions that resolve these challenges while catering to the unique needs of each business.

The Early Days of AI

The early days of AI featured milestones such as Alan Turing’s pioneering work in the 1950s and IBM’s Deep Blue defeating chess champion Garry Kasparov in 1997. Alan Turing’s pioneering work in the 1950s and IBM’s Deep Blue defeating chess champion Garry Kasparov in 1997 were early AI achievements. These early advances laid the path for today’s AI applications in fields such as marketing, healthcare, logistics, and others.

Akaike Technologies’ journey is inextricably linked to its creator, Rahul Thota, who is a renowned data scientist and artificial intelligence researcher who has been passionate about data science and AI for his 20-year career. He began his fascination in college when he was working on an image-processing project in MATLAB. He has since obtained more experience in the industry by using tools such as MATLAB and Python. Furthermore, he did internships at government research institutes and worked on medical imaging and surveillance at Siemens and Microsoft, as well as business and retail at Target Corporation and Vizury.

Image processing and computer vision have come a long way since the early days of neural networks and cloud computing. AI models are now widely available online; open-source code allows for easy project replication, and reputable universities offer AI/ML degree programs. Collaboration across departments has also increased, resulting in the development of a diverse range of AI solutions.

Previously, constructing production models required expertise in lower-level languages like C++; now, the emphasis is on higher levels of abstraction. Self-learning is rapidly replacing guided learning in AI as data scientists gain experience and confidence. There has also been a considerable increase in the number of companies and industries conducting AI research, resulting in promising discoveries such as the Voyalla and Johns study on face detection accuracy.

Overall, significant technological breakthroughs have made developing AI-focused solutions not only feasible but also exciting, as the possibility for new applications and solutions grows.

How is AI changing the business landscape?

Small businesses can benefit from implementing AI solutions in diverse areas such as customer service, human resources, inventory management, and more.

Akaike Technologies offers modular AI solutions, including Vision AI, Speech AI, and Text AI. These solutions meet the specific needs of businesses by providing valuable insights, improved data interactions, natural language interpretation, and multilingual text transcription.

Our team has made great strides in the past five years. We’ve processed almost:

3 million words
17000 hours of speech
22 million images
500 billion data points.

With these achievements in mind, we assisted a retail client in improving their shopping experience by implementing a recommender system that converted shoppers into customers while also increasing the average order value. Our automatic banner generation software proved extremely useful to our food delivery clients by allowing them to generate unique banners in various sizes with a single click — it reduced graphic designers’ costs and effort by 50%.

Challenges to AI Adoption

Despite its potential, AI adoption remains experimental for many businesses due to uncertainty about AI applications and possible deployment costs. However, early AI adopters can reap significant benefits as technology trailblazers, redefining their industries and shaping the transformation of their respective industries.

Addressing common business challenges like the following is critical for successful AI implementation:

Data bias
Lack of skilled talent
Data exploitation limitations.

Akaike Technologies’ customer-centric approach ensures the deployment of experts with diverse skills and customized AI solutions tailored to the needs of each business. This assistance accelerates the development of internal capabilities, promoting the successful implementation of AI.

Final Thoughts

There’s no doubt that AI offers numerous transformative benefits for small businesses, providing an edge in today’s competitive market.

By partnering with Akaike Technologies’ AI solutions, businesses can overcome implementation challenges and harness the immense potential of AI for growth and success.

Get in touch with us to discover how Akaike Technologies can accelerate AI adoption for your business, paving the way for a successful future.

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