7 months ago

Artificial Intelligence Apps in the Future of Modern Business AI Models

Artificial Intelligence apps are being implemented by mobile app development companies in today's era with the major improvement in machine learning, we are now able to add cognitive abilities to apps and adopting new strategy in business intelligence to lead the competitive business owners.


for their need to organise and search content visually by image or video labels. With the power of understanding what a customer wants on image recognition, and giving insightful suggestions in return, AI has made a mark, in giving customers a feel of having someone who could understand their needs and revert in the best of ways to provide them the most sensible solutions. Whether its learning the colour, size or shape, AI makes it possible for customers to lay their hands on what they are looking for. And now that it has set its first step, we can only expect it to grow in leaps and bounds in future. 2. AI in Healthcare: In a field like healthcare, human errors can be costly as well as ghastly. With ML/AI the chance of error reduces to a large extent and documentation and its recognition becomes easy. From Taking decisions to making security strong AI is proven to be a better assistant in terms of help needed in medical area. Though replacing doctors and nurses is not what AI is developed for, it takes away a lot of burden off their shoulders. 3. AI For Workplace: Apart from applications powered by chatbots, to answer the visitors query, AI is used in empowering employees by taking care of all the repetitive tasks which consume a lot of time, hampering productivity. With AI getting the task prioritised and goal setting is now an actionable task which makes employee utilise the remaining task in an efficient way. 4. Cybersecurity: With AI, fraudulent transactions can be easily detected, which makes many organisations adapt AI in most of their departments. AI catches hold of any indifferent behaviour of user applications such as Financial Systems or ERP. Deep Learning on the other hand, identifies all the suspicious activities which differ from the ones which happen usually, preventing any penetration of attackers. 5. Logistics and Supply chains: AI garners a lot of importance in Logistics and Cyber Security, most importantly when it comes to customer data and analytics, driving them to minimize delivery waits by autonomous trackers and robots. 6. Human Resource Management: Human Resource is one of the activities, which requires a lot of screening and going through a chunk of profiles to gather the required information. AI empowered HR activities weeds out the low quality data itself, filtering out the top one without manual Interception. AI in the coming days would rule the HR environment in most of the industries. Lastly, several Android app development and IOS app development companies around the world are deeply into developing AI apps. SIRI and Allo and more to follow. 2/3


Artificial Intelligence (AI) - Computer Applications in Business and ...