According to Forbes, automation technology can save businesses north of $ 4 million each year. A solid marketing strategy is essential to the success of any organization, and targeting your campaigns to reach the right audience will give you the best results. AI-led marketing tools such as chatbots, advertising platforms and data collection systems will be useful in this endeavor.
The rapid growth in AI-oriented social media marketing, for example, makes it easier for brands to personalize customer experience, connect with their customers, and track the success of their marketing efforts than ever.
The AI can also generate personalized content based on customer data in the CRM, which will further automate a sales search. Artificial intelligence and automatic learning technologies can automate important, but manual and long, tasks that allow employees to focus on more wound measuring tool valuable work. AI will be used to extract new ideas, transform decision-making and generate better business results. A recent PwC report indicates that an overwhelming majority of 72% of business decision-makers believe that AI offers a competitive advantage commercially.
This should be a great advantage for most managers, as it means that they should have more time to focus on how they add value to their organization. The key is to take advantage of the opportunity that artificial intelligence presents in business for individual and organizational success, including expanding your skills and using AI to increase your impact. In the short term, it is advisable to develop use cases which have proven evolutionary AI technological solutions, such as the automation of robotic processes or specific automatic learning applications. In the medium term, companies can choose to use cases using emerging AI technologies that have not yet proven to be scalable.
The key to finding the benefits of AI is not what others think: it is finding the value it can bring to your organization. Artificial intelligence turns information into knowledge and even gives you an idea of the future! Of course, AI is not a divination technology, but it can support your business with predictive analyzes. Predictive analysis is a form of analysis with the use of automatic learning: algorithms analyze current and historical data to make predictions of future results. Automatic learning is today one of the most common types of artificial intelligence in business development. These types of artificial intelligence are algorithms that seem to “learn” over time, improving what they do most often.
Automatic learning is a collection of computer algorithms that can quickly process large amounts of data and “give meaning” to this data. This technology takes advantage of learning as a dynamic process and algorithms have the ability to improve what they do, most often. In-depth learning is the integration of various neural networks capable of learning from unstructured data. In-depth learning algorithms have become very effective and precise due to the large-scale availability of business data and the increased computing power available.
The company develops software and hardware products for customer engagement, security, surveillance and business intelligence management. Its products are designed to assist customers in data analysis, especially in large data sets. Verint Systems recently acquired Next IT, a company that develops a conversational AI that answers complex questions for businesses and improves customer experiences. From financial and insurance needs to travel and health care, your smart products perform tasks and answer questions of technical support, billing, planning, purchasing and policy information. The company’s AI systems conduct commercial natural language products that are continuously improved through AI-oriented tools that allow human trainers to assess performance and improve end user satisfaction.
To achieve their objectives, companies need detailed plans to develop, requiring collaboration between technological experts and owners of the operational process which is being automated. Since cognitive technologies generally take on individual tasks rather than complete processes, enlargement almost always requires integration with existing systems and processes. In fact, in our investigation, leaders reported that such integration was the greatest challenge they faced in AI initiatives The global automation group uses end-to-end process maps to guide implementation and identify automation opportunities. The group also uses graphic “heat maps” which indicate the organizational activities most sensitive to AI interventions.