Goto

Collaborating Authors

Banking & Finance


Decision Intelligence: Expanding the Horizon of Business Intelligence

#artificialintelligence

The volume of data businesses produce today carries much significance in terms of overall growth. Foresighted companies know that if they want to vie in a highly-competitive market, they must deploy advanced analytics to ever-growing data sets. Using business intelligence allows them to look into their historical and current data sets, and it provides them predictive views of their business operations. Augmented by artificial intelligence and machine learning, business intelligence provides enterprises with decision-making context and recommendations. This significantly drives a move towards decision intelligence, the creative blend of technology into enterprise decision-making strategies and workflows.


3 Top Artificial Intelligence Stocks to Buy in March

#artificialintelligence

The technology sector has been hit hard as of late, as the impending economic reopening has gotten more attention, and rising long-term bond rates have hit growth stocks particularly hard. As rates go up, future earnings are discounted more, harming valuations for growth stocks and increasing attention on value stocks that make profits today. And yet, technology will still play an ever-increasing role in society even post-pandemic. AI helps businesses make sense of their vast troves of data, glean insights, and react quickly in an automated fashion. As AI helps grow revenue and cut costs at the same time, it will be a mission-critical capability for any large company, even post-pandemic. But are there really any AI stocks that still trade at reasonable valuations, and which can handle the market's current value rotation?


Building AI for the Global South

#artificialintelligence

Harm wrought by AI tends to fall most heavily on marginalized communities. In the United States, algorithmic harm may lead to the false arrest of Black men, disproportionately reject female job candidates, or target people who identify as queer. In India, those impacts can further impact marginalized populations like Muslim minority groups or people oppressed by the caste system. And algorithmic fairness frameworks developed in the West may not transfer directly to people in India or other countries in the Global South, where algorithmic fairness requires understanding of local social structures and power dynamics and a legacy of colonialism. That's the argument behind "De-centering Algorithmic Power: Towards Algorithmic Fairness in India," a paper accepted for publication at the Fairness, Accountability, and Transparency (FAccT) conference, which begins this week. Other works that seek to move beyond a Western-centric focus include Shinto or Buddhism-based frameworks for AI design and an approach to AI governance based on the African philosophy of Ubuntu.


Deep Learning Chip Market Breaking New Grounds and Touch New Level in upcoming year by

#artificialintelligence

Reports And Markets is part of the Algoro Research Consultants Pvt. Ltd. and offers premium progressive statistical surveying, market research reports, analysis & forecast data for industries and governments around the globe. Are you mastering your market? Do you know what the market potential is for your product, who the market players are and what the growth forecast is? We offer standard global, regional or country specific market research studies for almost every market you can imagine.


Big Data & Machine Learning in Telecom Market Breaking New Grounds and Touch New Level in upcoming year by

#artificialintelligence

Reports And Markets is part of the Algoro Research Consultants Pvt. Ltd. and offers premium progressive statistical surveying, market research reports, analysis & forecast data for industries and governments around the globe. Are you mastering your market? Do you know what the market potential is for your product, who the market players are and what the growth forecast is? We offer standard global, regional or country specific market research studies for almost every market you can imagine.


Global Lega-Tech Artificial Intelligence Market Economic Outlook, Market Structure Analysis,Forecast from 2021-2025 – NeighborWebSJ

#artificialintelligence

The information presented in Lega-Tech Artificial Intelligence Market Report 2021 includes qualitative and quantitative insights. Under the qualitative analysis part, manufacturing base, raw materials data, Lega-Tech Artificial Intelligence status, trends, SWOT analysis, PESTEL Analysis, distribution channels, driving factors, and a competitive structure is presented. Under the qualitative analysis part, market value/volume, production analysis, consumption data, import-export data, or each region and country are explained. Also, industry size by Lega-Tech Artificial Intelligence type, application, demand and supply scenario, and economic status are explained. Also, comprehensive information on the latest product development, growth opportunities, industry strategies, cost structures, and recent policies are enlightened in the Lega-Tech Artificial Intelligence report.


Anghami goes public on NASDAQ via SPAC

#artificialintelligence

Anghami offers more than 57 million Arabic and international songs to more than 70 million of its registered users, with around one billion streams per month. With an Arabic speaking population of over 450 million globally, its listing on NASDAQ allows Anghami to scale its user base and invest in technology to build on its data play. Anghami's AI and machine learning algorithms process over 56 million data points from its user base every day. Over nine years of user data is enabling the company to predict user behaviour and trends to better focus its investments and improve monetization.


Collaborative Intelligence: Humans and AI Are Joining Forces

#artificialintelligence

Artificial intelligence is becoming good at many "human" jobs--diagnosing disease, translating languages, providing customer service--and it's improving fast. This is raising reasonable fears that AI will ultimately replace human workers throughout the economy. Never before have digital tools been so responsive to us, nor we to our tools. While AI will radically alter how work gets done and who does it, the technology's larger impact will be in complementing and augmenting human capabilities, not replacing them. Certainly, many companies have used AI to automate processes, but those that deploy it mainly to displace employees will see only short-term productivity gains. In our research involving 1,500 companies, we found that firms achieve the most significant performance improvements when humans and machines work together. Through such collaborative intelligence, humans and AI actively enhance each other's complementary strengths: the leadership, teamwork, creativity, and social skills of the former, and the speed, scalability, and quantitative capabilities of the latter. What comes naturally to people (making a joke, for example) can be tricky for machines, and what's straightforward for machines (analyzing gigabytes of data) remains virtually impossible for humans.


The Evolution and Future of AI in the Stock Market

#artificialintelligence

A dedicated writer and digital evangelist. Are you aware of how the buying and selling of stocks were carried out when there was no internet or computers? Back then, stock exchanges had active trading floors filled with brokers and traders. To make a trade or a purchase, they had to shout or use hand signals to alert others about their buy or sell orders. It looked a whole lot like an auction at a fish market today. But then came computers and the internet to change the game completely.


Monte Carlo Simulation An In-depth Tutorial with Python

#artificialintelligence

A Monte Carlo method is a technique that uses random numbers and probability to solve complex problems. The Monte Carlo simulation, or probability simulation, is a technique used to understand the impact of risk and uncertainty in financial sectors, project management, costs, and other forecasting machine learning models. Risk analysis is part of almost every decision we make, as we constantly face uncertainty, ambiguity, and variability in our lives. Moreover, even though we have unprecedented access to information, we cannot accurately predict the future. The Monte Carlo simulation allows us to see all the possible outcomes of our decisions and assess risk impact, in consequence allowing better decision making under uncertainty.