Customers are the lifeblood of any business. In today's competitive and accessible landscape, delivering exceptional customer experience is more critical than ever. A positive experience can foster loyalty and advocacy, and ultimately, drive growth. Incorporating data annotation into AI-powered processes can do just that.

Call centers play a critical role in delivering high-quality customer service, generating leads, and providing valuable insights into customer behavior and preferences. However, working through call center data/call center data preparation can be daunting, especially when dealing with large volumes of data from multiple channels, such as inbound customer calls, chat, email, and social media.

In recent years, artificial intelligence (AI) has emerged as a transformative force across numerous industries, and the field of medical imaging is no exception. Leveraging the power of machine learning algorithms, AI has revolutionized the way healthcare professionals analyze and interpret medical images, providing a plethora of benefits to doctors, patients, and hospitals alike.

In the last two blogs, we discussed which jobs will benefit from generative AI and how generative AI could be used for malicious purposes. Let's see now how we can prevent the use of generative AI for malicious purpose. Preventing the malicious use of generative AI requires an approach that involves various stakeholders, including researchers, developers, policymakers, and the general public. Here are some steps that could be taken:

Industry leaders want to slow down the evolution of generative AI because they fear it may get out of control. Can AI really be a threat, and if yes, in what ways?

One of the most frequent conversation topics surrounding artificial intelligence (AI) is "which jobs will bereplaced by generative AI?" While we can't deny certain jobs are at risk, let's take a look at the opportunities that lie ahead, and which jobs can actually benefit from the latest wave in AI. 

For many years, artificial intelligence was limited to tasks such as object recognition and classification. However, with the emergence of generative AI, machines are now capable of creating entirely new content on their own. From music to art and speeches, generative AI is revolutionizing the way we think about creativity and innovation. However, AI can only do so much before human involvement is needed, which is a key step in its development.

We are thrilled to announce the latest video labeling features on the DataForce platform. These updates simplify and accelerate accurate object annotations within the frames of a video. With a variety of new tools, such as key points; bounding boxes; Polygon; Cuboid; and the intuitive, intelligent Scissors—an auto-labeling tool, annotating videos has never been more efficient and exact

The life sciences industry has always generated enormous amounts of data. In a digital age, data proliferation in life sciences is more vigorous than ever, to the extent that data may be as essential to a company’s value proposition as its pipeline, products, or research and development (R&D).

It is only in more recent years, though, with the emergence of artificial intelligence (AI) and machine learning (ML), that the industry has started to leverage the full potential of its data reserves in the patient’s journey, R&D, manufacturing, and even marketing. However, since a lot of the produced data is unstructured, there is a need for annotation and augmentation services to ensure this data is put to best use.

In 2023, a standard vehicle is equipped with a variety of technologies—from wireless smartphone connectivity to blind-spot viewing monitors and autonomous emergency braking—the list goes on! In the time we live in, it is important to keep not only safety as a top priority but also convenience and accessibility.

Location: Amsterdam, Netherlands

Date: January 24, 2023

Presenters:

• Dr. Dorota Iskra, Director, AI - DataForce>
• Ashley Moons, Account Executive, AI - DataForce
• Moderated by: Doron Themans, Botcasters

Session Description:

In the 21st episode of Botcasters, Doron Themans discusses with DataForce representatives Dr Dorota Iskra & Ashley Moons about the importance of quality data for training AI and the use of native speakers to make your bot multilingual.

Be sure to watch the full episode as they cover other topics around the future of chatbots and more.

Learn from Brad Hastedt, Director, AI, on the capabilities of DataForce and the variety of services we offer between multiple industries with corresponding use cases.