Apple has apparently made another acquisition, this time it is a company called Lattice Data who apparently use AI and Machine Learning to turn ‘dark data’ into structured data.
Dark Data is unstructured data like text and images and Apple apparently paid $200 million to purchase Lattice, of course this had not been confirmed by Apple as yet.
Understanding Dark Data
Dark Data refers to the vast amount of unstructured data that organizations collect, process, and store during regular business activities but generally fail to use for other purposes. This data can include text documents, emails, multimedia files, and more. The challenge with dark data is that it is not easily searchable or analyzable using traditional data processing techniques. Companies like Lattice Data specialize in transforming this unstructured data into structured data, which can then be used for various analytical purposes.
The ability to convert dark data into structured data is crucial for businesses as it can unlock valuable insights and drive more informed decision-making. For example, a company might have years’ worth of customer service emails that, when analyzed, could reveal common issues or areas for improvement. By structuring this data, businesses can gain a competitive edge and improve their operations.
Apple’s Strategic Move
According to a recent report from TechCrunch, a team of around 20 engineers for Lattice have joined Apple as part of the deal. TechCrunch reached out to Apple about the deal and were given the following statement.
“Apple buys smaller technology companies from time to time and we generally do not discuss our purpose or plans,”.
The company had apparently raised around $20 million in funding previously and it was founded back in 2015, exactly what Apple has planned for their new acquisition remains to be seen.
Apple’s acquisition of Lattice Data could be seen as a strategic move to enhance its capabilities in artificial intelligence and machine learning. By integrating Lattice’s technology, Apple could potentially improve its existing services and products. For instance, Apple’s virtual assistant, Siri, could become more efficient at understanding and processing natural language queries by leveraging structured data derived from dark data.
Moreover, this acquisition could also play a significant role in Apple’s efforts to enhance its data analytics capabilities. With the increasing importance of data-driven decision-making, having the ability to process and analyze large volumes of unstructured data could provide Apple with a significant advantage over its competitors.
Another potential application of Lattice’s technology could be in the realm of healthcare. Apple has been making strides in this sector with its Health app and Apple Watch. By structuring health-related data, Apple could offer more personalized and accurate health insights to its users.
In addition to these potential applications, the acquisition of Lattice Data could also help Apple in its ongoing efforts to improve user privacy and data security. By structuring and analyzing data more effectively, Apple could develop more robust security measures to protect user information.
Overall, while the exact plans for Lattice Data’s technology remain unclear, it is evident that this acquisition aligns with Apple’s broader strategy of leveraging advanced technologies to enhance its products and services.
Source TechCrunch
Latest Geeky Gadgets Deals
Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
