Artificial Intelligence
Sage launches next gen AI timesheets app for Sage Intacct to help services businesses reduce revenue leakage
ATLANTA, Sept. 21, 2020 (GLOBE NEWSWIRE) — Sage (FTSE: SGE), the market leader in cloud business management solutions, today announced the first artificial intelligence (AI) powered application built directly into the Sage Intacct cloud financial management system. Sage Intelligent Time, available online or via a mobile app, provides continuous, timely, and more accurate insights to better manage billable time in services-based businesses.
Sage Intelligent Time uses an AI-powered personal time assistant to enable service professionals to complete their timesheets more quickly and accurately by automatically reconstructing their workday. This also offers the ability to capture billable time more easily from one-off activities, such as email, that are often too time-intensive to track manually.
By helping to ensure all billable time is captured, Sage Intelligent Time reduces revenue leakage from either not billing, or under-billing, customers – enabling firms to improve project profitability and increase revenues. For example, by properly accounting for billable work and recovering just one hour of lost billable time per week, based on a $200/hour billing rate, a firm could generate up to $10,000 in additional revenue annually – per billable employee.
“Intelligent timesheets can provide a much-needed boost to professional service organizations that are trying to find ways to reduce revenue leakage that is commonly seen with traditional time entry,” said Aaron Harris, CTO, Sage. “We’re using the power of AI and machine learning to make a tedious, manual process more streamlined and accurate. We developed Sage Intelligent Time to enable services-based businesses to quickly capture the critical information needed to manage profitability and close the books on time, while securing revenue often lost due to unlogged, billable activity.”
Intelligent Timesheets Streamline Data Entry
Manually reconstructing the week’s activities for time entry often results in untimely, inaccurate, and incomplete timesheets. Sage Intelligent Time enables service professional to simply review automated suggestions from the personal time assistant based on activities during their work week. Users can make any necessary adjustments and then drag the items onto the timesheet – saving time and improving accuracy. Furthermore, the personal time assistant gets smarter with every activity review, saving users even more time as it learns.
Sage Intelligent Time also features a user-friendly mobile application, providing service professionals the ability to review and record billable time while working on the go. This can help eliminate the usual process of project staff spending valuable time attempting to reconstruct the last week (or two) for their timesheet. Accelerating the timesheet submission process also helps the finance team by eliminating the need to track down overdue timesheets, so they can close the books on time.
Sage Intacct customer and Sage Intelligent Time early adopter, Patricia Wakim, SVP of finance for M/A/R/C Research, a marketing research firm, commented: “Our project managers are typically very busy and required to juggle multiple projects, which can make time entry delayed and often less accurate. We depend on that time entry to get an understanding of the financial performance of our projects and catch any revenue leakage before it gets out of control. To streamline the process, Sage Intelligent Time helps suggest what should be entered instead of forcing our project managers to dig through their calendar and email to reconstruct the workweek. The automated alerts are also helpful for me, so I don’t have to play ‘timesheet cop’ and hound people to complete their timesheets.”
Improved Insights into Employee Utilization and Project Profitability
With timesheets completed on time and with better accuracy, Sage Intelligent Time helps project managers gain continuous visibility into project hours, including real-time project status and profitability information. Armed with these insights, managers can more accurately guide future project resourcing and pricing to optimize profitability as well as provide more precise forecasts.
In addition, as timesheets are more complete and capture all activity details, client invoices are more accurate and specific. Clients know exactly what they are paying for, which accelerates payments and cash by reducing the likelihood of invoice disputes and trimming.
Sage Intacct customer and Sage Intelligent Time early adopter, Sheri Petras, CEO and partner at CFI Group, a leader in customer experience measurement and business insight services, noted: “We bill our projects on a fixed-fee basis, so accurate project cost data is critical for us to understand how we’re performing and how to price future work. Getting dependable project labor costs can be difficult when our team is working on 10-15 different projects in any given week, often spending time on unscheduled tasks. With Sage Intelligent Time, we are much more confident that we have the most accurate understanding of our project status and costs, so we can make financially sound decisions about current projects and better price future work.”
Maintaining Privacy and User Control
User privacy is built into Sage Intelligent Time. The user is in complete control over what types of information to provide to their personal time assistant, and the activity data collected by the time assistant is visible only to the user. Once Sage Intelligent Time suggests a time entry, the user can review and adjust it before applying each suggested entry using a simple drag-and-drop interface.
To learn more about Sage Intelligent Time, watch this short overview video and visit the Sage Intelligent Time product page.
Availability
Sage Intelligent Time is currently in Early Adopter phase. It will be generally available from Sage Intacct and its network of channel partners in the U.S. in the next quarter.
Media contact:
Peter Olson
408-878-0951
[email protected]
Twitter: @PeterOlsonPR
About Sage
Sage is the global market leader for technology that provides small and medium businesses with the visibility, flexibility and efficiency to manage finances, operations and people. With our partners, Sage is trusted by millions of customers worldwide to deliver the best cloud technology and support. Our years of experience mean that our colleagues and partners understand how to serve our customers and communities through the good, and more challenging times. We are here to help, with practical advice, solutions, expertise and insight. Learn more at www.sage.com/en-us/ or www.sageintacct.com.
Artificial Intelligence
$10 million Artificial Intelligence Mathematical Olympiad Prize appoints further advisory committee members
D. Sculley, Kevin Buzzard, Leo de Moura, Lester Mackey and Peter J. Liu appointed to the advisory committee for the Artificial Intelligence Mathematical Olympiad Prize.
LONDON, April 26, 2024 /PRNewswire/ — XTX Markets’ newly created Artificial Intelligence Mathematical Olympiad Prize (‘AIMO Prize’) is a $10mn challenge fund designed to spur the creation of a publicly shared AI model capable of winning a gold medal in the International Mathematical Olympiad (IMO).
XTX Markets is delighted to announce the appointment of five further advisory committee members. This group brings great expertise in machine learning, including D. Sculley, the CEO of Kaggle; Lester Mackey, a Principal Researcher at Microsoft Research and a Macarthur Fellow; and Peter J. Liu, a research scientist at Google DeepMind.
Prolific mathematicians Kevin Buzzard, who achieved a perfect score in the International Mathematical Olympiad, and Leo De Moura who is the Chief Architect for Lean, the automated reasoning tool, also join the advisory group.
They join the existing advisory committee members Terence Tao and Timothy Gowers, both winners of the Fields Medal, as well as Dan Roberts, Geoff Smith and Po-Shen Loh.
The AIMO Advisory Committee will support the development of the AIMO Prize, including advising on appropriate protocols and technical aspects, and designing the various competitions and prizes.
Simon Coyle, Head of Philanthropy at XTX Markets, commented:
“We are thrilled to complete the AIMO Advisory Committee with the appointments of D., Kevin, Leo, Lester and Peter. Together, they have enormous experience in machine learning and automated reasoning and are already bringing expertise and wisdom to the AIMO Prize. We look forward to announcing the winners of the AIMO’s first Progress Prize soon, and then publicly sharing the AI models to support the open and collaborative development of AI.”
Further information on the AIMO Prize
There will be a grand prize of $5mn for the first publicly shared AI model to enter an AIMO approved competition and perform at a standard equivalent to a gold medal in the IMO. There will also be a series of progress prizes, totalling up to $5mn, for publicly shared AI models that achieve key milestones towards the grand prize.
The first AIMO approved competition opened to participants in April 2024 on the Kaggle competition platform. The first progress prize focuses on problems pitched at junior and high-school level maths competitions. There is a total prize pot of $1.048m for the first progress prize, of which at least $254k will be awarded in July 2024, There will be a presentation of progress held in Bath, England in July 2024, as part of the 65th IMO.
For more information on the AIMO Prize visit: https://aimoprize.com/ or the competition page on Kaggle: https://www.kaggle.com/competitions/ai-mathematical-olympiad-prize/
Advisory Committee member profiles:
D. Sculley
D. is the CEO at Kaggle. Prior to joining Kaggle, he was a director at Google Brain, leading research teams working on robust, responsible, reliable and efficient ML and AI. In his career in ML, he has worked on nearly every aspect of machine learning, and has led both product and research teams including those on some of the most challenging business problems. Some of his well-known work involves ML technical debt, ML education, ML robustness, production-critical ML, and ML for scientific applications such as protein design.
Kevin Buzzard
Kevin a professor of pure mathematics at Imperial College London, specialising in algebraic number theory. As well as his research and teaching, he has a wide range of interests, including being Deputy Head of Pure Mathematics, Co-Director of a CDT and the department’s outreach champion. He is currently focusing on formal proof verification, including being an active participant in the Lean community. From October 2024, he will be leading a project to formalise a 21st century proof of Fermat’s Last Theorem. Before joining Imperial, some 20 years ago, he was a Junior Research Fellow at the University of Cambridge, where he had previously been named ‘Senior Wrangler’ (the highest scoring undergraduate mathematician). He was also a participant in the International Mathematical Olympiad, winning gold with a perfect score in 1987. He has been a visitor at the IAS in Princeton, a visiting lecturer at Harvard, has won several prizes both for research and teaching, and has given lectures all over the world.
Leo de Moura
Leo is a Senior Principal Applied Scientist in the Automated Reasoning Group at AWS. In his spare time, he dedicates himself to serving as the Chief Architect of the Lean FRO, a non-profit organization that he proudly co-founded alongside Sebastian Ullrich. He is also honoured to hold a position on the Board of Directors at the Lean FRO, where he actively contributes to its growth and development. Before joining AWS in 2023, he was a Senior Principal Researcher in the RiSE group at Microsoft Research, where he worked for 17 years starting in 2006. Prior to that, he worked as a Computer Scientist at SRI International. His research areas are automated reasoning, theorem proving, decision procedures, SAT and SMT. He is the main architect of several automated reasoning tools: Lean, Z3, Yices 1.0 and SAL. Leo’s work in automated reasoning has been acknowledged with a series of prestigious awards, including the CAV, Haifa, and Herbrand awards, as well as the Programming Languages Software Award by the ACM. Leo’s work has also been reported in the New York Times and many popular science magazines such as Wired, Quanta, and Nature News.
Lester Mackey
Lester Mackey is a Principal Researcher at Microsoft Research, where he develops machine learning methods, models, and theory for large-scale learning tasks driven by applications from climate forecasting, healthcare, and the social good. Lester moved to Microsoft from Stanford University, where he was an assistant professor of Statistics and, by courtesy, of Computer Science. He earned his PhD in Computer Science and MA in Statistics from UC Berkeley and his BSE in Computer Science from Princeton University. He co-organized the second place team in the Netflix Prize competition for collaborative filtering; won the Prize4Life ALS disease progression prediction challenge; won prizes for temperature and precipitation forecasting in the yearlong real-time Subseasonal Climate Forecast Rodeo; and received best paper, outstanding paper, and best student paper awards from the ACM Conference on Programming Language Design and Implementation, the Conference on Neural Information Processing Systems, and the International Conference on Machine Learning. He is a 2023 MacArthur Fellow, a Fellow of the Institute of Mathematical Statistics, an elected member of the COPSS Leadership Academy, and the recipient of the 2023 Ethel Newbold Prize.
Peter J. Liu
Peter J. Liu is a Research Scientist at Google DeepMind in the San Francisco Bay area, doing machine learning research with a specialisation in language models since 2015 starting in the Google Brain team. He has published and served as area chair in top machine learning and NLP conferences such as ICLR, ICML, NEURIPS, ACL and EMNLP. He also has extensive production experience, including launching the first deep learning model for Gmail Anti-Spam, and using neural network models to detect financial fraud for top banks. He has degrees in Mathematics and Computer Science from the University of Toronto.
About XTX Markets:
XTX Markets is a leading financial technology firm which partners with counterparties, exchanges and e-trading venues globally to provide liquidity in the Equity, FX, Fixed Income and Commodity markets. XTX has over 200 employees based in London, Paris, New York, Mumbai, Yerevan and Singapore. XTX is consistently a top 5 liquidity provider globally in FX (Euromoney 2018-present) and is also the largest European equities (systematic internaliser) liquidity provider (Rosenblatt FY: 2020-2023).
The company’s corporate philanthropy focuses on STEM education and maximum impact giving (alongside an employee matching programme). Since 2017, XTX has donated over £100mn to charities and good causes, establishing it as a major donor in the UK and globally.
In a changing world XTX Markets is at the forefront of making financial markets fairer and more efficient for all.
View original content:https://www.prnewswire.co.uk/news-releases/10-million-artificial-intelligence-mathematical-olympiad-prize-appoints-further-advisory-committee-members-302128542.html
Artificial Intelligence
Hikvision redefines urban mobility with AIoT-powered solutions at Intertraffic 2024
HANGZHOU, China, April 26, 2024 /PRNewswire/ — Hikvision made a significant appearance at Intertraffic Amsterdam, the leading global trade fair for mobility and traffic technology. At the trade event, Hikvision unveiled a suite of traffic, transport, and parking management solutions and products powered by Artificial Intelligence of Things (AIoT) technology, which promised to improve urban mobility, road safety, and operational efficacy.
Elevating urban traffic intelligence with AIoT
One highlight of the Hikvision stand was its intelligent urban traffic solution, which leveraged the power of AIoT to deliver comprehensive real-time monitoring, incident detection, and traffic control. This solution intelligently reshapes traffic dynamics, offering a more responsive and data-driven approach to enhance situational awareness and traffic management. Key innovations in the solution included:
Hikvision’s radar-video fusion camerasThese combine the range perception of radar with the visual perception of video. The 4 MP Radar and Video Vehicle Detector, for example, helps to enhance road safety by providing early warning of potential hazards in challenging situations such as blind spots at intersections and obstacles outside the visual range.Hikvision’s All-In-One Traffic SpotterThis stands out with its multifaceted design incorporating video, radar, and lighting technologies for heightened traffic violation detection. Its streamlined column design facilitates effortless installation.Hikvision’s Radar-Linked PTZ Camera This ensures consistent performance in adverse weather and lightening conditions, and minimizes false alarms with advanced deep-learning algorithms.Innovating parking management
Hikvision also introduced its parking management solutions. These combine extremely precise license plate recognition and intelligent barrier controls incorporating highly accurate radar sensors. This comprehensive approach enhances security, reduces the need for manual intervention, and streamlines traffic flow across parking areas. The Global Shutter CMOS* (GMOS) ANPR camera was a new addition to the lineup. Designed to seamlessly blend in the environment, it is tailored for the task of discreetly capturing license plates at parking facilities that prioritize subtlety.
Advancing public transportation safety and efficiency
Attendees also had the opportunity to explore Hikvision’s latest public transport solutions, integrating AI-driven analytics with advanced video security, on-site voice broadcasting, and centralized management for enhanced onboard security, improved passenger experience, and operational efficiency for buses and taxis. This included the Four-way monitoring system and the Panoramic Auxiliary System, both designed to reduce blind spots and provide high-definition imaging to improve driving safety.
“As ever, we are continually expanding our suite of technologies to enhance traffic safety and efficiency,” said Nick Wu, Project Product Director at Hikvision Europe. “Our commitment lies in minimizing the need for extensive roadside installations by incorporating comprehensive perception and robust AI within unified device frameworks. These innovations automate and streamline every aspect of traffic management, from violation detection to traffic flow monitoring, driving safety, and parking management.”
To find out more about Hikvision’s urban mobility products and solutions, please explore its official website.
Note: CMOS stands for Complementary Metal-Oxide-Semiconductor.
Photo – https://mma.prnewswire.com/media/2398456/Hikvision_redefines_urban_mobility_AIoT_powered_solutions_Intertraffic_2024.jpgPhoto – https://mma.prnewswire.com/media/2398459/Hikvision_redefines_urban_mobility_AIoT_powered_solutions_Intertraffic_2024.jpg
View original content:https://www.prnewswire.co.uk/news-releases/hikvision-redefines-urban-mobility-with-aiot-powered-solutions-at-intertraffic-2024-302128527.html
Artificial Intelligence
London Blockchain Conference Launches the No Future Campaign
LONDON, April 26, 2024 /PRNewswire/ — The London Blockchain Conference is excited to announce the launch of its ground-breaking, ‘No Future Campaign’. This initiative aims to create a strong narrative surrounding blockchain technology by challenging perceptions and sparking conversations. By creating this platform, the campaign aims to instil a fear of missing out (FOMO) sensation among the audience, positioning the London Blockchain Conference as a gateway to securing a stake in the future and unlocking the potential of blockchain technology.
With a bold and evocative narrative theme, the campaign will initially confront the audience with a jarring reality check of “NO FUTURE” and then resolve the statement “WITHOUT BLOCKCHAIN” to spark curiosity and engagement with the optimistic revelation that blockchain holds the key to a prosperous future.
The ‘No Future Campaign’ started on 17 April 2024 with the London Blockchain Conference creating and executing content on/with media platforms and partnerships:
Wharf Life inserts (17/04/2024) – Print and a digital advert/editorial-sponsored pieces.Animations being released on paid and organic channels in a 3-week campaign.Alex Stein, Conference Director said, “The No Future Campaign is a call for individuals, enterprises, and governments to recognise the importance and role of blockchain in shaping the future. Through the London Blockchain Conference, we aim to educate and inspire attendees to understand and harness the potential of blockchain technology.”
The three-day London Blockchain Conference at the ExCel will bring together politicians, business leaders, and innovators. The conference will be running from 21 – 23 May 2024 and will focus on disruptive and real-world applications of blockchain technology and the impact it is having on politics, emerging technologies, and enterprises.
For more information about the ‘No Future campaign’, visit the London Blockchain Conference website.
About the London Blockchain Conference
NETWORK. LEARN. ENGAGE.
At the London Blockchain Conference, we show how Blockchain will change the world and help people see another way to manage data, build scalable on-chain solutions and achieve great things. We do this by creating valuable, insightful, and engaging events that educate and inform, allowing you to connect and network to build strong business relationships. Our conference is the best avenue to see blockchain innovations, ecosystem announcements, product launches, technology updates, keynote speeches, panels, and fireside chats from blockchain leaders. Join us and experience it for yourself.
View original content:https://www.prnewswire.co.uk/news-releases/london-blockchain-conference-launches-the-no-future-campaign-302128526.html
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