AI
Innovations in automation and AI
If you want to take advantage of all the benefits of the second wave of AI integration, contact the specialists at StartDuck Agency. Our specialists will help you choose the best solution that will increase the efficiency of your business in the shortest possible time.
If you are already using artificial intelligence in your work, you can assess the effect of its implementation yourself. On average, the new technology increases business productivity by 30— 40%, and in some industries such as call centers, customer support and recruitment — by 60— 80%. And this is just the beginning. Experts say that we are only experiencing the first wave of AI adoption and have discovered about 5% of its real potential. In the next 2-3 years, the next wave will begin, which will bring even more effective and interesting innovations. Which ones exactly? We will talk about this in today's article.
1. Robotic process automations
Imagine that your company has a universal employee. He'll take on any job—all you have to do is teach him how to do the task two or three times. This is how robotic process automation (RPA) works. First, they learn from people, then complete the task in parallel and gradually move to a fully autonomous mode.
One of the leaders in the field of RPA is the Romanian-American company UiPath. She offered banks a system that is trained in parallel with scoring specialists. The introduction of this technology has helped customers reduce the processing time for loan applications by 80%, reducing the number of errors in data processing by 50%. RPAs are also gradually beginning to appear in production, where artificial intelligence no longer controls abstract algorithms, but very real robotic machines.
2. Recruiting automation
AI can already analyze resumes much faster than recruiters and select ideal employees with more than 90% accuracy. But the HireVue platform goes even further. It serves as a kind of “polygraph” during video interviews. Artificial intelligence analyzes non-verbal signals such as response speed, gestures, intonation, facial expressions, blinking frequency, etc. Thanks to this, the recruiter sees when the interlocutor is lying, when he is withholding information, and when he doubts his own suitability for the tasks.
In the Unilever case, the HireVue platform reduced the time it took to find, hire and adapt employees by half. It increased the productivity of new employees by 18% and reduced recruitment costs by 40%. The subscription investment was returned with multiple profits.
3. Automation of legal processes
Law is a unique field of activity. On the one hand, it requires inhuman machine logic to properly track all relationships and eliminate emotional factors. On the other hand, she cannot do without a person who must interpret laws correctly and fairly in accordance with current circumstances.
LawGeex has developed an AI-based platform that automates the analysis of contracts and other documents, comparing them with current legal standards and identifying risks. Subscribing to this service helped an international company that wanted to remain anonymous and reduce the time it takes to review contracts from a few days to several hours. Ultimately, this increased the speed of contracting and increased business competitiveness, while reducing the number of errors due to the “human factor”.
4. Automating creative activities
Will the robot compose a symphony? Will a robot turn a piece of canvas into a masterpiece of painting? Turns out yes. Will Smith's hero from the famous movie was wrong. Artificial intelligence can already perform creative tasks — drawing pictures, composing musical compositions and creating realistic videos.
Of course, we're not talking about first-wave models like the famous DALL-E or Midjourney. At the next stage of evolution is the Adobe Sensei platform, which automates routine creative and graphic design processes. It can perform various tasks, such as:
- completely replace the background in photos and videos;
- develop paintings from scratch, based on the preferences of the target audience;
- correct poor lighting and other operator errors;
- draw the missing parts of objects, restoring damaged files;
- simulate various optical effects — long exposure, wide aperture, etc.
Developers claim that their platform saves an average of 40% of graphic designers' time, allowing them to focus on really important creative tasks. They also predict that their solution will significantly reduce film production costs in the future, making high-quality content available to everyone.
5. Predictive maintenance
Artificial intelligence can analyze hundreds of factors and predict when a particular part of industrial equipment will fail. At the same time, it can make do with data from a minimum number of sensors that are already contained in modern robotic machines.
General Electric (GE) is a great example. It has launched a pilot project at a plant that produces power equipment. Later, similar systems were launched at enterprises that produce components for the aerospace industry. Modern failure prediction and realistic analysis of equipment life have helped the company reduce conveyor downtime by 80% and reduce repair costs by 30%.
6. Full personalization of websites
Experts say that in the foreseeable future, we may face a phenomenon where each individual user will have “their own Internet”. The reason is that websites will adapt to a person's preferences, changing backgrounds, the location of functional elements, and even prices in catalogs! It is up to you to decide how to treat this — as a capitalist cyberpunk dystopia or a bright socialist future.
Be that as it may, Amazon is already actively using hyperpersonalization technology. The company's algorithms study the company's behavior history on its website and other resources that agree to share relevant data. They help you create a selection of your favorite products, launch personalized promotions, and manage prices in real time. The result is an increase in the average check by 35% and a significant increase in the base of loyal customers.
7. Logistics automation
You don't have to go far for an example. The same Amazon company has automated its warehouse in Phoenix, Arizona by 90%. The room is equipped with hundreds of sensors, magnetic tracks and QR codes on the floor. Artificial intelligence takes orders in real time and rearranges car routes up to 4 times per second. This solution helped to reduce warehouse maintenance costs by half and speed up the collection and shipment of ordered goods by 50%.
In the near future, artificial intelligence may go beyond the premises and start distributing goods and resources between remote warehouses. The world's largest oil companies like ExxonMobil, Shell and BP are already using artificial intelligence to optimize the routes of tankers, trains and tankers. They reduce costs by an average of 12% and reduce problems such as oil spills by 30%.
8. Artificial intelligence in human resources management (HR)
Can a machine understand a person and create the most comfortable working conditions for them? It turns out that yes is no more difficult than painting a picture or composing a symphony. For example, the Workday platform allows you to analyze the emotional state of employees, assessing the likelihood of their dismissal, their willingness to increase, and the efficiency of using working time. It provides HR services and managers with possible ways to solve problems and pre-estimates the monetary impact of using such methods.
In the future, such platforms will help companies move from reactive personnel management to proactive management. Instead of “plugging holes” and saving a sinking ship, businesses will be able to carry out repairs on the go:
- set the optimal wage;
- search for new employees in advance;
- make the most effective use of staff potential.
This will have a positive effect for both businesses and employees. The former will increase productivity, and the latter will improve the overall atmosphere in the team.
Conclusion
Some companies are already creating the basis for a second wave of artificial intelligence introduction, developing new technological solutions and testing them in practical scenarios. As we can see from the examples above, AI makes it possible to optimize many business processes, reduce costs, improve the quality of service and automate routine tasks. He can even understand complex legal issues and improve the team atmosphere.
If you want to take full advantage of the second wave of AI integration, contact the agency's specialists StartDuck. We are constantly monitoring current trends in business and information technology, in particular, the introduction of artificial intelligence. Our experts will help you choose the optimal solution that will quickly increase business efficiency and significantly improve the company's financial results.