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Cases in which artificial intelligence is not used as an alternative to human opinion

It seems that each company is filled with stories about its successes in transformation in this area

Field

Undoubted benefits that were not fulfilled

While 72 percent of institutions reported on the application of artificial intelligence decisions over the past year, 74 percent of them approved that his technological investment did not achieve the promised competence.

This contrast is not associated with the technical capabilities of artificial intelligence, but rather the motivation of institutions to automation without understanding the growing importance of human intelligence (accompanying these transformations), and not their reduction … since you cannot use artificial intelligence to replace all components of your business.

Strategic value of human observation

This gap between the noise of artificial intelligence and operational reality led to the fact that industrial experts call the “paradox of automation.” With the growing complexity of systems, the strategic value of human control increases in specific areas, since the context, management and management of relations are determined by success or failure.

Knowledge when human intelligence (hi) or what is called artificial intelligence (AI) will determine the institutions that are prepared for the next stage of application of artificial intelligence.

Where does artificial intelligence endure?

The promise of artificial intelligence to transform commercial operations not without reason, but the reality of application reveals significant drawbacks.

Let us give an example of global management of labor, since labor laws develop at various times between countries, and compliance requirements change them on the basis of geopolitical changes. But when new rules appear or accurate cultural differences affect the strategies of labor, their success proves that human experts are still necessary to ensure an accurate interpretation that algorithms cannot provide.

The financial services sector is faced with similar problems. The old rules are worth the payment sector of 36.7 billion dollars. USA per year, which prevents digital transformation. While financial institutions and institutions in various sectors tend to update their technical groups, payments processing platforms are one of the ways to update and adopt more flexible business models.

For this reason, some leading companies in the field of payments offer smooth experience for customers who need to overcome these obstacles. These technologies organize reasonable guidelines, improved speed and cost. Then institutions can integrate this technology with a human vision in order to make strategic decisions on pricing structures, customer experience, interpret the organizational rules and market dynamics, overlooked by pure automation.

This reality reveals the limits of current artificial intelligence: despite its exceptional effectiveness in solving specific criteria, this requires a human explanation of accurate business decisions.

The importance of a “person in the necessary missions”

Restrictions are not enough to push the institutions to refuse to accept artificial intelligence. Instead, successful institutions seek to find balance using selective automation strategies. This approach determines the specific points of communication, where human intelligence provides an indispensable value, even with an increase in the automation of surrounding operations.

Manufacturers clearly embody this principle. While artificial intelligence determines operational competencies, decisions related to the transformation of labor and comparison between quality and speed, require the rules of a person that takes into account long -term commercial consequences.

This structure becomes very important in operations that directly encounter customers. While artificial intelligence can deal with ordinary investigations and consider standard transactions, conflict resolution, management of relations with high valuable clients and strategic account planning, all this is beneficial from human vision, which realizes the emotional context and trade relations that only data cannot absorb.

In one of the reports, 46 percent of institutions that use artificial intelligence selectively indicate that they do this to keep up with organized industries and ancient systems. This slower and more balanced approach provides greater control before the integration of technology into wider business operations.

Finding balance between institutions

Developing companies often adapt this balance effectively more than the largest institutions, given their ability to use selective automation without the need to deal with old systems. New companies can use artificial intelligence tools to automate customer support, financial forecasts and improve marketing, while supporting human supervision of relations with investors, strategic partnerships and products to develop products that require intuition on the market and management of relations.

Medium -sized institutions are faced with different problems, but they can benefit from the same principles. You can take into account the observation of compliance with control, processing wages, conventional communication with customers, while ensuring the availability of human experts for strategic planning, an effective solution to problems and managing a high level of risk, which determine the competitive location.

Excellent institutions require more advanced curricula, but they benefit from larger resources for the use of complex strategies for artificial intelligence. It can fully automatically automatically automate the operational workflow, create roles for specialized experts in artificial intelligence, while creating specialized commands for supervision of a person, focused on strategic interpretation, processing exceptions and managing relations that achieve real competitive differentiation.

That cannot be replaced by the use of artificial intelligence with it

While artificial intelligence systems reduce operational costs, strategic decisions related to the implementation, improvement and management of human relations can receive a much higher investment profit.

The New York Times found that the latest obstetric intelligence tools give fake or fake speed results that predecessors double with errors of 79 percent in some cases. If the institution cannot determine these errors, customers lose confidence in their products and services and are looking for alternative solutions.

As for the marketing agency, it can be catastrophic. While artificial intelligence accelerates the process of creating content, agencies still need to publish experts in order to check the results, detect errors, compatibility with the resume of customers and ensure compliance. This additional level of review of obstetric artificial intelligence provides confidence, which is currently not enough, providing the ability of institutions to expand without sacrificing quality.

Creating an intelligence strategy for your organization

Successful implementation operations have the main characteristics in various sectors. The beginning is to determine the appropriate automation processes – which usually represent ordinary tasks based on the rules with clear standards and expected results – in which artificial intelligence can be used to replace handmade. At the same time, maintaining the power of human decision -making in areas that require context, management of relations and strategic thinking.

The secret is to establish clear boundaries between automated processes and responsibilities of human supervision. Successful “Trees” applications create solutions that automatically exacerbate complex scenarios for people -experts, while artificial intelligence systems allow us to effectively process conventional processes.

Training becomes very important in this structure. The difference should understand not only how to use artificial intelligence tools, but also when mechanical recommendations should be exceeded, how to explain visions obtained from artificial intelligence in a broader business context, and how to maintain human relations that technology cannot replace.

* “You”, “Tribune Media” services.

Facts

79 %

The percentage of errors generated by the last tools of obstetric intelligence in manufactured or fake results, and doubles its predecessors.

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