Collaborating Authors


Women Leaders in AI - 2020 - NASSCOM Community


The excitement of using Artificial Intelligence has not dwindled from the time it has been unfolded. In KPMG study on “living in the AI world 2020: achievements and challenges of AI across 5 industries (retail, financial service, healthcare, transportation, and technology), revealed that 92% of respondents agreed that leveraging the spectrum of AI technologies will make their companies run more efficiently. Amidst the admiration towards AI, IBM created the Women Leaders in AI program in 2019. This was a way to acknowledge the women leading in AI and encourage females to lend a hand in the field of AI. Through this IBM, planned to make the efforts of the honourees more visible to the world. 2020 IBM women leaders were honoured for outstanding leadership in the AI space. Here is the list of women leaders in AI 2020 honorees:- Aarthi Fernandez Who is a Global head of Trade Operations and SEA Trade COO at Standard Chartered Bank? She is a C-suite executive with deep insight on how digitalization can positively disrupt US$17 trillion global trade. She is into deploying AI/Machine learning to make trade financing simple, faster, and better for corporate clients and mitigate compliance risk. Piera Valeria Cordaro She is a commercial Operations Innovation Manager, Wing Tre S.p.A., Italy. She is a speaker, advocating the use of AI in customer operations. Along with her team and with support by IBM Watson, implemented two chatbots, to improve customer experience. Both bots have made it possible to handle a million queries efficiently. Amala Duggirala Who is the enterprise Chief operation and Technology officer, Regions Bank, United States. To handle customers’ inquiries she deployed IBM Watson’s assistant- virtual banker persona, ”Reggie”. From the time of its implementation 4.3 million customer calls have been answered, with 22% of them being handled by AI. Mara Reiff Vice President, Strategy and Business Intelligence, Beli Canada, Canada. She used AI to improve operations, loyalty, and brand. She worked with IBM to install Watson studio Local using Red Hat open shift. This resulted in smarter, fast decision-making with improved customer experience leading to increased sales. Mara suggests everybody to “Make sure to stop and smell the roses. Take each opportunity to learn something new and embrace change”. Amy Shreve- McDonald She is lead Product Marketing Manager for Business Digital experience, AI&T, USA. EVA (Enterprise Virtual Agent) was launched in February 2019, to improve customer chat experience, it uses Watson assistant. This system has been able to handle 45% chats on its own, resulting in reduced costs and expanding 24/7 support. She also received AT&T’s 2019 Visionary Award for her work advocating EVA. Ryoko Miyashita Manager, customer service department, customer service section JACCS CO., LTD Japan. She launched a Watson-enabled operator onboarding tool, that resulted in reduced new operator training period by 30%. The tool has increase customer satisfaction. Her advice to the younger self is “It is important to believe in yourself, but it is equally or more important to believe in people around you. I would encourage myself to have many experiences and garner knowledge to objectively evaluate things, not blindly accept or exclude others’ opinions”. Carol Chen She is Vice President for Global Marketing, Global Commercial, Royal Dutch Shell, United Kingdom. Along with her team, Carol is partnering is planning for digital transformation with the creation of “Oren”- a Smart Minning Platform, by partnering with IBM. This platform will offer an innovative and creative experience for users in the sector to deliver connectivity and integration across the ecosystem. To use AI, she advice commencing with analyzing the business outcome that one wants and customer pain points that one can cater to. The next step would be to determine how to leverage AI and data to solve the problem. Rosa Martinez Cognitive Project Manager, CiaxaBank, Spain. For those who consider using AI, her advice to them is ‘first to understand the business case as it may take time more than expected. This phase can result in a non-AI project example a ‘software as usual’. But moving further with the project there can be more AI application for sure to work on’. Lee- Lim Sok Know Deputy Principal, Temasek Polytechnic, Singapore. Under the leadership of Sok Keow, The higher education institution in Singapore ‘Temasek Polytechnic’ launched the “Ask TP” chatbot in January 2018. The chatbot helped current as well as prospective students to get answers to the questions asked about Temasek and also gave personalized course advice. In the 1st two weeks of 2020, ‘Ask’ TP’ responded to more than4,351 questions. She suggests everybody “deeply appreciate ‘people’ as they are the most critical asset in an organization, and a leader must develop a team”. Itumeleng Monale Executive Head of Enterprise Information Management Personal and Business Banking, Standard Bank of South Africa, South Africa. By deploying many analytical tools in her organization, she can uplift the revenue of the company. Through models of analytics relationships, bankers are experiencing a 40% revenue uplift when comparing to their peers. She sees AI as a tool through which business delivery can be accelerated, value could be added to human capital and relationships can build further. With this AI era, Research has postulated that corporate giants still have less percentage of women in the technical department. Facebook’s diversity report suggests that there are 22 % of women in the technical department and 15 per cent of women work in the AI research group. Similarly, Google’s diversity report suggests that only 10% women are working on  “machine intelligence”. There is a need to encourage women participation as there are many more women around the world, stepping out of the pre-existed sheathe and going beyond the walls to shape the future. Opening up the AI platform for all will fetch us more talented beings which can help us celebrate the use of AI in different fields and different ways. Reference:-   About the author:- Kirti Kumar is a budding HR professional currently pursuing PGDM in HR and Marketing at New Delhi Institue of Management. She looks forward to opportunities that can hone her skills. She is agile in her attitude with versatility in her action

AI-based index that can predict the risk of falls for those over 65 years old – IT in Canada Online


The second leading cause of accidental injury and death around the world each year is being experienced by 30 per cent of people over the age of 65. Movendo Technology, in partnership with Galliera Hospital in Genoa, Italy has finished a 2-year clinical trial with 150 elderly participants which has resulted in the creation of the Silver Index. This index is an objective measure that predicts the risk of falls in the elderly and suggests specific exercises and protocols to minimize these identified risks. The foundation of this 20-minute evaluation is a proprietary AI-based algorithm which combines the robotic measurements of hunova, a programmable robotic medical device for both objective, functional evaluation and therapy. Through the evaluation of 130 parameters in a routine of seven exercises, the index can predict the risks with 95 per cent accuracy and fifteen per cent improvement for traditional evaluation measures.

Major survey highlights Europeans' fears over AI – Government & civil service news


Less than 20% of Europeans believe that current laws "efficiently regulate" artificial intelligence, and 56% have low trust in authorities to exert effective control over the technology, according to a new survey from the European Consumer Organisation (BEUC). The findings have important implications for the governance and design of AI-powered public services, emphasising the need to address citizens' fears over transparency, accountability, equity in decision-making, and the management of personal data. The BEUC surveyed 11,500 consumers in nine European countries: Belgium, Denmark, France, Germany, Italy, Poland, Portugal, Spain and Sweden. It found that while a large majority of respondents feel that artificial intelligence (AI) can be useful, most don't trust the technology and feel that current regulations do not protect them from the harms it can cause. It also found that 66% of respondents from Belgium, Italy, Portugal and Spain agree that AI can be hazardous and should be banned by authorities.

Life academy promotes ethical ways AI can with help food security


As part of its ongoing collaboration with two of the world's leading developers of AI software, the Pontifical Academy for Life will launch a new joint project looking at ethical ways artificial intelligence can be used to guarantee food security. The academy, together with the heads of Microsoft, IBM and the U.N. Food and Agriculture Organization, were to unveil details about the project at an online event Sept. 24. The goals of the event include presenting concrete solutions to the agri-food business with the ethical use of AI and looking at the "post COVID-19 route" to take, the academy said in a press release Sept. 15. "Concrete experiences of using artificial intelligence to ethically address global environmental challenges will be presented," it said. Titled, "AI, Food for All: Dialogue and Experiences," the conference was a follow-up to a Feb. 28 event held at the Vatican that included the signing of a "Call for AI Ethics" by the leaders of the papal academy, Microsoft, IBM, the FAO and a representative of the Italian government.

Quiet Anthropocene, quiet Earth


Our planet vibrates incessantly, sometimes with notable but more often with imperceptible intensity. Conventional seismology attempts to decipher vibrational sources and path effects by studying seismograms—records of vibrations measured with seismometers. In doing so, scientists seek either to understand the tectonic processes that lead to strong ground motions and earthquake failure ([ 1 ][1]) or to probe otherwise inaccessible planetary interiors ([ 2 ][2]). Progress in these areas of research typically has relied on the rare and geographically irregular occurrence of large earthquakes. However, anthropogenic (human) activities at Earth's surface also generate seismic waves that instruments can detect over great distances. On page 1338 of this issue, Lecocq et al. ([ 3 ][3]) report on a quieting of anthropogenic vibrations since the start of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. Seismology has benefited from a surge in seismic data volume, computational power, and corresponding methodological development. These advances have enabled seismologists to branch away from traditional source and subsurface characterization of the energy from earthquakes and human-made blasts. The expansion of seismic networks has allowed the observation of previously unseen natural processes as diverse as wildlife activity ([ 4 ][4]), bed load transport in rivers, glacier sliding ([ 5 ][5]), and surface-mass wasting ([ 6 ][6]). In particular, scientists use continuous, ambient seismic vibrations to probe volcanic activities ([ 7 ][7]) and groundwater resources ([ 8 ][8]), to track storms ([ 9 ][9]), and to decipher ice sheet processes ([ 10 ][10]). Human cultural noise carries seismic signatures mostly at frequencies above 1 Hz, whether the source is transient (entertainment; individual cars, trains, or planes), harmonic (wind turbines, machinery), or diffuse (railroads, highways) ([ 11 ][11], [ 12 ][12]) (see the figure). Overall, anthropogenic seismic noise levels have increased over the past few decades, and there is a clear positive correlation between this increase and gross domestic product ([ 13 ][13]). But when the SARS-CoV-2 pandemic began to ravage the planet, humans—and Earth—went quiet. Through a global analysis of seismic noise levels, Lecocq et al. found that most sites experienced a drastic reduction in noise levels in the 4- to 14-Hz frequency band. This reduction was much greater than those observed during the annual noise-level cycles of national or religious holidays. Daily CO2 emissions fell only 11 to 25% ([ 14 ][14]), whereas anthropogenic vibrations dropped by 75% in most countries that imposed lockdown measures. Among countries with the greatest noise reductions were China, Italy, and France—all densely populated places with strong government responses (that is, with high virus-containment indices) ([ 15 ][15]). Lecocq et al. also detected a correlation between seismic data and new types of time series, such as urban audible sound from acoustics data and cell phone mobility data. The authors observed the greatest correlations between seismic noise levels and two common types of pandemic mitigation: surface transportation and nonessential business activities. Lecocq et al. did not detect a strong correlation between lockdown and seismic noise reduction at other frequency bands, which might be explained by certain uninterrupted human activities such as power generation ([ 14 ][14]). For all its hardships, the lockdown has unlocked a door to scientific inquiry into environmental noise and global collaboration. At a fundamental level, low noise benefits traditional seismology, hence the recent noise decrease might open new windows of opportunity; study areas hindered by urban noise might now be targets for detecting microseismicity or for improved subsurface imaging. The crucial next step, as ever in seismology, is to determine the causative nature of these signals beyond their correlation—thus turning anthropogenic noise into informative signals that allow scientists to address new questions. For example: Is there feedback between anthropogenic vibrations and Earth processes? And will seismic monitoring of anthropogenic and environmental activities become complementary, economically valuable alternatives to conventional techniques? To achieve these advances, seismologists must develop new ways of processing data and modeling and interpreting results. Lecocq et al. exemplify seismological progress through best practices in scientific research: public data, open-access software and hardware, global cooperation, and crowdsourcing of citizen-science projects. All of the data are publicly available through open-access data centers at the Incorporated Research Institutions for Seismology (IRIS), which hosts and redistributes real-time seismograms from most of the stations participating in the Federation of Digital Seismograph Networks archive. A large proportion of the data used in the Lecocq et al. study was measured on seismic instruments that are powered on open-source Raspberry Pi computers hosted by citizen scientists. The Raspberry Shake network counts more than 3500 stations globally, all installed in homes, schools, and research institutions at 2 to 7% of the cost of conventional research or industrial sensors. The authors performed data analyses with open-source Python software Obspy, demonstrating the prevalence and usefulness of open-source community codes in modern science. Like the pandemic, the seismological community also is shaking up norms. One important example is the reorganization of research activities. Although physical borders are closed, Lecocq et al. demonstrate that, much like the global medical research on SARS-CoV-2, seismological research is and ought to be without borders. The new study represents scientists from 25 countries on five continents, and the authors shared the manuscript on public editing platforms (Google Docs, Slack) that allowed for all members of the community to contribute. Indeed, social seismology, which directly relates human activities and seismic waves, has sparked enthusiasm in the scientific community for urban seismology. The fall meeting of the American Geophysical Union (December 2020) will highlight the imminent wave of SARS-CoV-2–related seismological science in a special session called “Social Seismology.” ![Figure][16] Humans and nature excite seismic waves Seismometers record vibrations from everything, not only earthquakes. Shown are sources that induce seismic waves of different vibration modes (harmonic, diffuse, transient), detectable over large distances. GRAPHIC: N. DESAI/ SCIENCE 1. [↵][17]1. M. A. Denolle, 2. E. M. Dunham, 3. G. A. Prieto, 4. G. C. Beroza , Science 343, 399 (2014). [OpenUrl][18][Abstract/FREE Full Text][19] 2. [↵][20]1. K. Hosseini et al ., Geophys. J. Int. 220, 96 (2020). [OpenUrl][21] 3. [↵][22]1. T. Lecocq et al ., Science 369, 1338 (2020). [OpenUrl][23][CrossRef][24][PubMed][25] 4. [↵][26]1. B. Mortimer, 2. W. L. Rees, 3. P. Koelemeijer, 4. T. Nissen-Meyer , Curr. Biol. 28, R547 (2018). [OpenUrl][27][CrossRef][28] 5. [↵][29]1. E. A. Podolskiy, 2. F. Walter , Rev. 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Allen , Seismol. Res. Lett. 91, 2343 (2020). [OpenUrl][50] 14. [↵][51]1. C. Le Quéré et al ., Nat. Clim. Chang. 10, 647 (2020). [OpenUrl][52] 15. [↵][53]1. P. Poli, 2. J. Boaga, 3. I. Molinari, 4. V. Cascone, 5. L. Boschi , Sci. Rep. 10, 9404 (2020). [OpenUrl][54][CrossRef][55][PubMed][56] Acknowledgments: We thank L. Ermert and B. Liposky for their comments. 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Revisiting Italy's Artificial Intelligence National Strategy - Analysis - Eurasia Review


Increasing trust in and adoption of Artificial Intelligence (AI) are necessary ingredients for economic growth and the fuel for future innovations that can benefit society as a whole. In this complex context which stimulates and promotes the use and dissemination of AI technologies, also Italy has developed its AI national strategy as part of the Coordinated Plan launched by the European Commission in December 2018. Over the period until now, the Italian government has stressed the importance of discussing about the specific approach that the country should adopt to fully benefit from the advantages of AI, while mitigating the risks that are often associated with its use. As Prof. Anis H. Bajrektarevic pointed out in his report: "Artificial Intelligence is essentially a dual-use technology and its mighty implications, either positive or negative, will be increasingly hard to anticipate, frame, and restrain, let alone mitigate and regulate" (The answer to AI is intergovernmental Multilateralism, New Europe, Brussels, March 2020). Therefore, a national strategy is more than ever essential because AI can represent the starting point for a new edge filled with economic, social and cultural prosperity for Italy.

Are Radioactive Diamond Batteries a Cure for Nuclear Waste?


In the summer of 2018, a hobby drone dropped a small package near the lip of Stromboli, a volcano off the coast of Sicily that has been erupting almost constantly for the past century. As one of the most active volcanoes on the planet, Stromboli is a source of fascination for geologists, but collecting data near the roiling vent is fraught with peril. So a team of researchers from the University of Bristol built a robot volcanologist and used a drone to ferry it to the top of the volcano where it could passively monitor its every quake and quiver until it was inevitably destroyed by an eruption. The robot was a softball-sized sensor pod powered by microdoses of nuclear energy from a radioactive battery the size of a square of chocolate. The researchers called their creation a dragon egg. Dragon eggs can help scientists study violent natural processes in unprecedented detail, but for Tom Scott, a materials scientist at Bristol, volcanoes were just the beginning.

Greg, ML – Machine Learning for Healthcare at a Scale


The push for the widespread adoption of digital records and digital reports in medicine [11, 17] is paving the ground for new applications that would not be conceivable a few years ago. This paper presents one of these applications, called Greg, ML. Greg, ML [15] is a research project developed by Svelto! a spin-off of the data-management group at University of Basilicata. It is a machine-learning-based platform for generating automatic diagnostic suggestions based on patient profiles. Machine learning is a well established branch of artificial intelligence.

Law firms collaborate on artificial intelligence training


Lawyers were trained to think that practicing law is a zero-sum game, with no space for collaboration. Some recent events gave me hope that this is no longer the case. I know I am biased, because in the past I've been an open innovation manager in a global corporation, but even now that I'm working on legal technology adoption for a big law firm I think we might have a good chance. I recently attended a working breakfast in Milan (Italy), organized by Luminance, a leading contract review company, which was the first in a sequence of similar events. On that occasion, several partners and innovation heads from big Italian law firms openly discussed ideas and best practices on the matter.

Updates on How AI Being Employed to Speed COVID-19 Treatments and Management - AI Trends


Medical researchers are employing AI to search through databases of known drugs to see if any can be associated with a treatment for the new COVID-19 coronavirus. An early success story comes from BenevolentAI of London, which using tools developed to search through medical literature, identified rheumatoid arthritis drug baricitinib as a possible treatment for COVID-19. In a pilot study at the end of March, 12 adults with moderate COVID-19 admitted to the hospital in either Alessandria or Prato, Italy, received a daily dose of baricitinib, along with an anti-HIV drug combination of lopinavir and ritonavir, for two weeks. Another study group of 12 received just lopinavir and ritonavir. After their two-week treatment, the patients who received baricitinib had mostly recovered, according to a recent account in The Scientist.