Why Data Annotation is the Key to Success Insurance companies are trying very hard to shake the stigma that they are behind the times, and with good reason. The popular consensus among consumers is that dealing with an insurance provider is like getting a root canal without anesthesia. Ouch. To be fair, the process is …
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Natural language processing (NLP) may very broadly be defined as the automatic processing and analysis of large amounts of language data by software. With the evolution and democratization of artificial intelligence and machine learning (AI/ML),as well as data-driven methodologies and theample availability of large amounts of online digitaldata, new sets of NLP tools have emerged and become largely mainstream. However, the key pre-requisite to build applications leveraging these tools and technologies is the availability of highly relevant representative data. Due to this dependence on the context, relevance, quality and availability of a good number of examples to work from,there is often a big challenge increating meaningfuldatasets.
More than 500 years after the invention of Gutenberg’s printing press, technology innovations like digitization and information retrieval represents monumental shift in the way we discover and consume the written word.
On the heels of a historic and heated election, The UK announced it will be formally leaving the European Union as ofJanuary 31, 2020. Despite the landslide victory led by British Prime Minster Boris Johnson’s Conservative Party, there are still many obstacles to overcome before a withdrawal from the EU is finalized. Nevertheless, investors and financial analysts have many concerns about the impact Brexit willhave on the derivatives industry, including fragmented markets and liquidity shortfalls.
Intelligent automation is the latest buzzword thrown around by business leaders who want to reduce operational complexity and accelerate growth. Fair enough. In today’s hyper-competitive, global business environment, organizations are demanding to do more with less. Intelligent automation promises to reshape organizational structure and streamline complex routines. But are businesses really employing the type of intelligent automation technologies that can transform the business?
Artificial intelligence seems to be everywhere you look these days, this article notwithstanding. But seriously, while AI is commonly seen as a complex but innovative solution for curing diseases and fostering social good, today it is being applied to accomplish everything from drafting a better fantasy football team to help craft pick-up lines (how you …
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(NASDAQ: INOD) Innodata is a global data engineering company delivering the promise of AI to many of the world’s most prestigious companies. We provide AI-enabled software platforms and managed services for AI data collection/annotation, AI digital transformation, and industry-specific business processes. Our low-code Innodata AI technology platform is at the core of our offerings. In every relationship, we honor our 30+ year legacy delivering the highest quality data and outstanding service to our customers.