AI’s Real Value Is Built on Data and People – Not Just Technology

The promise of artificial intelligence expands daily – to push individual productivity gains to enable institutions to reveal strong new commercial visions through data. Although artificial intelligence capabilities seem unlimited and their effect is easy, the journey to the ecosystem in which artificial intelligence works is truly complex and full of challenges. This journey does not start and ends with implementation, adoption, or even using artificial intelligence – it ends there. The realization of the full value of the solution of artificial intelligence ultimately depends on the quality of data and the people who implement it, manage it and apply it to pay meaningful results.

Data: The cornerstone of the success of artificial intelligence

Data, organizational constant. Whether it is a deadly or deadly store or the Organization of Institutions, every work works on data (financial records, stocks, safety clips, etc.) The management of this data and accessibility and the governance of this data is the cornerstone of achieving the potential of artificial intelligence within the institution. Gartner recently indicated that 63 % of organizations either lack confidence or not sure whether current data practices or current management structure are sufficient to adopt successful artificial intelligence. Enabling the institution to open the full potential of Amnesty International requires well studied data. From assembly, storage, synthesis, analysis, security, privacy, governance and access to access – the frame and methodology must be in place to take advantage of artificial intelligence properly. In addition, it is necessary to relieve risk and unintended consequences. The bottom line, the data is the cornerstone of your analyzes and fuel.

It determines access to your artificial intelligence solution that your data determines its capabilities – to the extent that we see the emergence of new jobs designed specifically for it, the chief data employee (CDO). Simply put, if a solution to Amnesty International is provided to an environment with “free floating” data that can be accessed to anyone-to be vulnerable to error, biased, incompatible, and it is very likely to reveal sensitive and special information. On the contrary, when the data environment is rich, organized, accurate, within a working and systematic framework for how the institution uses its data – AI can return immediate benefits and provide several hours on modeling, predicting and developing inclination. Data access policies are built on the cornerstone of the data, which are anxious – the human element.

the people: The underestimation factor in adopting artificial intelligence

IDC recently participated that 45 % of CEOs and more than 66 % of managers of managers of managers of the managers of the polls have frequently about technology sellers did not fully understand the negative risk capabilities of the IQ. These leaders have what justifies them in their warning. It can be said that the consequences of the risks of ancient information technology remain similar to the convicted artificial intelligence (i.e. stopping, operational attacks, costly electronic insurance installments, compliance fines, customer experience, data hoses, ransom programs, and more). Anxiety comes from a lack of understanding about the root processes of these consequences or for those who are not aware, the anxiety that comes with the enabled participating artificial intelligence that works as a catalyst for these consequences.

The urgent question is: “Should I invest in this costly tool for information technology, which can significantly improve practical performance at every functional level in the risk of information technology collapsing due to the employee’s lack of willingness and empowerment?” dramatic? Certainly – the risks of work always, we already know the answer to this question. Through the most complex technologies and high operational capabilities, efforts to enable the difference should be legally used to use these tools legally, efficiently and effectively.

Seller challenge

The lack of confidence in technology sellers understands the experience of the topic and reflects a deeper issue: the inability to express clearly the specific risks that the organization can face and will face with incorrect applications and unrealistic expectations.

The relationship between the organization and technological sellers is similar to the patient’s relationship and health care practitioner. The patient consults a health care practitioner with symptoms that seek to diagnose and hope for a simple and cost -effective treatment. In preventive situations, a health care practitioner with the patient will work on food recommendations, lifestyle options and specialized treatment to achieve specific health goals. Likewise, there is an expectation that organizations will receive mandatory solutions from technology sellers to solve or plan technology applications. However, when institutions are unable to provide mandatory risks for information technology environments, they exacerbate uncertainty in implementing artificial intelligence.

Even when the sellers connect the risks and potential effects of Amnesty International, many organizations are deterred at the real total cost of ownership (TCO) participating in the necessary foundation. There is an increasing awareness that the successful AI implementation must start in the current environment – and only when this environment is updated, institutions can really open the value of artificial intelligence integration. It is similar to the assumption that anyone can jump to the cockpit in the F1 Supercar and win immediately. Any person knows that success in the race is the result of both the skilled driver and a high -performance machine. Likewise, the benefits of artificial intelligence can only be achieved when the organization is properly prepared, trained and equipped to adopt and implement it.

Example: Microsoft 365 Copilot

Microsoft 365 Copilot is a great example of the current AI solution whose effect and value are often misunderstood or mitigated by the expectations of customer non -alignment – how to implement artificial intelligence and what they think He should Do, instead of understanding what He can He does. Today, more than 70 % of the Fortune 500 companies are already benefiting from Microsoft 365 Copilot. However, the widespread fear that artificial intelligence will replace functions to a largely wrong concept when it comes to most applications of artificial intelligence in the real world. Although the displacement of jobs has occurred in some areas – such as the entire automatic “dark warehouses” – it is important to distinguish between artificial intelligence as a whole and its use in robots. The latter had a more direct impact on the replacement of jobs.

In the context of modern work, AI’s basic value lies in promoting performance and inflating experience – not replacing it. By saving time and increasing career output, artificial intelligence provides more going to the market more flexible and delivering value faster. However, these benefits depend on critical enabling factors:

• Practice mature data
• Strong access management and governance
• Strong security measures to relieve risk
• Enabling people about the use of AI responsible and best practices

Here are some examples of job improvements that depend on AI through the fields of work:

• Sales leaders can generate mile models using customer life cycle data to push SELL and UPSell strategies, and improve customer retention and value.
• FP & A teams are deeper visions thanks to the time preserved in business units analysis, which provides a better consensus with companies’ goals.
• The teams of accountable accounts can manage payment cycles more efficiently with more accessible accessories, improve awareness and customer participation.
• Marketing leaders can build more effective strategies and alignment of sales by taking advantage of the visions of artificial intelligence on sales performance and opportunities.
• Operations teams can reduce the time to reconcile financing and sales data, which reduces chaos during the end of the quarter or the end of the year.
• Customer success teams and their support can reduce response times and decision by automating the workflow and simplifying the main steps.

These examples only scratch the surface of the artificial intelligence capabilities to push the gains of functional transformation and productivity gains. However, realizing these benefits requires the correct basis – the systems that allow AI to integrate, collect, analyze and save their promise in the end.

Final thought: There is no connection and play for artificial intelligence

Artificial Intelligence Application to Unlock its full potential is not that simplicity like installing a program or application. It combines an interconnected network of independent functions that permeate your entire information technology staple – providing operational visions and efficiency that requires a manual effort and great resources.

The awareness of the value of the artificial intelligence solution is based on building data practice, maintaining a strong framework for access and governance, and securing the ecosystem – a topic that requires deep diving.

The ability of technology sellers depends on a standard partner on both marketing and empowerment, focusing on exposing myths and calibrating expectations about what it means to harness the potential of artificial intelligence.