Nasdaq Women in Technology: Niharika Sharma, Senior Software Engineer, Nasdaq’s Machine Intelligence Lab
Niharika Sharma is a Senior Software Engineer for Nasdaq’s Machine Intelligence Lab. She designs systems that gather, process and apply machine learning/natural language processing technologies on natural language data, generating valuable insights to support business decisions. Over the past years, she worked on Natural Language Generation (NLG) and Surveillance Automation for Nasdaq Advisory Services. We sat down with Niharika to learn more about how she got her start in computer science and how she approaches challenges in her career.
Can you describe your day-to-day as a senior software engineer at Nasdaq?
My day-to-day work involves collaborating with Data Scientists to solve problems, ideating business possibilities with product teams and working with Data/Software Engineers to transform ideas into solutions.
How did you become involved in the technology industry, and how has technology influenced your role?
My first exposure to Computer Science was a Logo programming class that I took as a junior in high school. After that, I took a couple of coding classes for fun.
When it came to choosing a college major, my high school Mathematics teacher suggested I consider a career in Software Engineering. At first, I thought, “Programming?! That’s too geeky!”. I liked coding, but I never wanted to be that nerd who sits in a cube staring at a computer all day. For college, I chose to study Chemistry at Delhi University, but a few months into the course, I realized technology was where I belonged, and I eventually pivoted to Engineering.
A decade later, I admit that it was the best decision I ever made. I found the concepts and problem solving so engaging that after obtaining my degree, I took a leap of faith and moved to the U.S. to pursue a Masters in Computer Science from Northeastern University. In the final semester, I
(Reuters) – Adobe Inc said on Monday that it has put a new set of artificial intelligence tools into its digital marketing software with the aim of helping companies sharpen their marketing campaigns.
Once known for applications like Photoshop, Adobe has become one of the biggest providers of software for running such campaigns, which businesses use to decide which of thousands of images and pieces of written to content to show to potential customers. Growth in its marketing software division has helped send shares up nearly 50% this year.
The artificial intelligence features released on Monday aid that effort by, for example, scanning and labeling thousand of product images by color and shape, or using natural-language processing technology to read an article to determine its subject.
That makes it easier for marketing campaigns to make a recommendation, whether that means showing a person browsing an e-commerce site a pair of shoes similar to ones they have previously viewed or a news website suggesting a story on a similar subject to the one just read.
Such artificial intelligence technology has existed for several years, but using it generally required corporate marketing departments to export data from their systems and work with another division of the business to use, slowing the work down, Ali Bohra, director of strategy and product marketing for intelligence services at Adobe, said in an interview. Adobe has placed the technologies directly inside the marketing systems, reducing the need to export data.
“When you’re thinking about the need to be agile and work in real time, this is not a process that works very well,” Bohra said.
(Reporting by Stephen Nellis in San Francisco; Editing by Marguerita Choy)
Smartphone Tracking Data And Artificial Intelligence Turn People’s Movements Into Detailed Insights And Profits
Not all businesses experienced a setback due to COVID-19. Cosmose AI, a company that uses machine learning to predict who will go shopping as well as when and where, plus measures the effectiveness of online ads to online and in-person store visits, expanded during the pandemic. Valued at $100 million after a Series A investment round by Tiga Investments, OTB Ventures, and TDJ Pitango, many retailers turned to the insights provided by Cosmose AI’s artificial intelligence-powered service to figure out how to best operate during the pandemic and prepare for a new future.
Insights for Retailers from Cosmose AI’s AI-Powered Platform
Founded in 2014, Cosmose AI gathers anonymized mobile phone data including user IDs, location info, and more from more than 1 billion smartphones, more than 400,000 apps, 360,000 stores and then shares insights about consumer behavior with some of the world’s biggest brands, including Walmart, Gucci, Cartier, Budweiser, Tencent, L’Oreal, Samsung and Marriott. The company plans to extend its reach across Asia to 2 billion smartphones and 10 million stores by 2022. Cosmose AI’s platform doesn’t require the installation of specific hardware or beacons and works seamlessly with Google, Facebook, WeChat, and more.
Retailers receive accurate location info within 2 meters. Cosmose AI’s predictive shopping AI informs retailers about who will shop when and where they will go. According to the company, this AI delivers 73% accuracy for the beauty category. This insight helps retailers understand how many people visit brick-and-mortar store locations after seeing or clicking an ad online and also how to improve the customer experience, sales, and advertising strategies, and customer retention. Marketers had previously been able to track online ad effectiveness for online traffic, but now through
Global Carbon Management Software Market Procurement Intelligence Report With COVID-19 Impact Analysis | Global Forecasts, 2020-2024
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SpendEdge has announced the release of its Global Carbon Management Software Market Procurement Intelligence Report (Graphic: Business Wire)
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New version of Sapera Software Suite brings exciting AI capabilities
Teledyne DALSA’s Sapera Software Suite
New Sapera Software Suite offers image processing and AI functions to design, develop and deploy high-performance machine vision applications
WATERLOO, Ontario, Oct. 06, 2020 (GLOBE NEWSWIRE) — Teledyne DALSA, a Teledyne Technologies [NYSE:TDY] company and global leader in machine vision, is pleased to announce Sapera™ Vision Software Edition 2020-09 is now available. The latest Sapera Vision Software suite includes Sapera Processing and the new AstrocyteTM graphical application for artificial intelligence (AI). The software suite offers field-proven image processing and artificial intelligence functions to design, develop and deploy high-performance machine vision applications.
This latest version of Sapera Vision Software includes Astrocyte™ 1.0, a new AI-based graphical application dedicated to training neural networks on 2D images for a wide range of applications. Through its highly flexible graphical user interface, users can train neural networks to perform classification, object detection, segmentation and noise reduction on existing images. Astrocyte can then export models to Sapera Processing for integration into a final application. Sapera Processing 9.0, the new version of Sapera Processing library, will provide classes for AI inference and enable importing models from Astrocyte for execution into the user application.
“Astrocyte is the perfect tool to bring an AI application to production quickly while preserving data privacy. Customers will be able to import training images, train a neural network and export a model file to their user application in just a few mouse clicks,” said Bruno Ménard, Software Director for Teledyne DALSA.
The new version of Sapera Vision Software is ideal for applications such as surface inspection on metal plates, location and identification of hardware parts, detection and segmentation