Category Archives: Data Mining
Ault Alliance Explores Paying Dividends in Bitcoin From its Michigan … – DBusiness
Bitcoin subsidiary BitNile Inc.s Michigan data center could play a major role in the issuing of a special dividend in Bitcoin. // File photo
Ault Alliance in Nevada, a diversified holding company whose BitNile Inc. (BNI) subsidiary has a Bitcoin mining data center in Dowagiac, is exploring a pathway that will allow it to issue a special dividend payable in Bitcoin to stockholders.
The planned dividend would be paid from Bitcoin generated by Ault Alliances mining operation located southwest of Kalamazoo.
The company says it intends to collaborate with regulatory authorities, its transfer agent, and others, which may include a trusted custodian, to determine what is required to pay a special dividend in Bitcoin.
BNI recently reported that its Bitcoin mining facilities are currently operating at an operational hash rate of 2.1 exahashes per second, with approximately 9,000 of its Bitcoin miners at its Michigan data center and 10,000 Bitcoin miners that are being hosted through its strategic collaboration with Core Scientific Inc.
The annualized gross value of Bitcoin currently being mined utilizing BNIs miners is more than $55 million, or approximately 1,800 Bitcoin, based on current market conditions, including a current trading price of Bitcoin at $30,400 and a mining difficulty of 50.65 trillion.
With the increasing popularity and adoption of cryptocurrencies, Ault Alliance says it recognizes the potential of Bitcoin as a valuable asset for its stockholders.
The idea of potentially issuing a Bitcoin dividend is aimed at providing a forward-thinking approach to stockholder value enhancement. By using its Bitcoin mining operations, Ault Alliance seeks to provide an alternative investment opportunity and potential long-term value appreciation for its stockholders.
The company also is exploring ways to educate stockholders who may not be familiar or comfortable with receiving a dividend in Bitcoin itself.
Ault Alliance would, with the intention of addressing the preferences of all its stockholders, accomplish this by offering its stockholders as of the ex-dividend date a choice of receiving actual Bitcoin or a cash payment equal to the dollar value of the Bitcoin as of such ex-dividend date.
By exploring a possible Bitcoin dividend, we aim to stay at the forefront of technological advancements and provide additional value to our stockholders, says Milton Todd Ault III, founder and executive chairman of Ault Alliance. We believe that cryptocurrencies, especially Bitcoin, hold tremendous potential for the future, and we want our stockholders to benefit from this exciting opportunity.
To ensure compliance with regulatory requirements and promote transparency, Ault Alliance will be working closely with relevant regulatory authorities throughout the process.
The company is committed to adhering to the standards of corporate governance and regulatory compliance in all its operations. At this time, the company has not declared a dividend and there can be no assurances that it will declare a dividend payable in Bitcoin or a Bitcoin-denominated cash payment, if at all.
The company has not yet determined what procedures would be required to permit stockholders to receive a dividend in Bitcoin, and even if the company is able to pay a special dividend in Bitcoin, there are no guarantees that all stockholders will be permitted by their local governmental bodies to receive the dividend in Bitcoin.
Ault Alliance notes that all estimates and other projections are subject to the volatility in Bitcoin market price, the fluctuation in the mining difficulty level, the ability to build out and provide the necessary power for miners, and other factors that may impact the results of Bitcoin mining production or operations.
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Ault Alliance Explores Paying Dividends in Bitcoin From its Michigan ... - DBusiness
South African rand flat; manufacturing and mining data due this week – Reuters
JOHANNESBURG, July 10 (Reuters) - The South African rand was flat on Monday, at the start of a week in which local manufacturing and mining data will be released.
At 1513 GMT, the rand traded at 18.8675 against the dollar , 0.04% weaker than its previous close.
Statistics South Africa will release May manufacturing output (ZAMAN=ECI) on Tuesday and mining figures (ZAMNG=ECI) on Thursday.
Like other emerging market currencies, the risk-sensitive rand also takes cues from big global drivers such as U.S. monetary policy and the dollar.
"The rand will remain beholden to U.S. data releases, exhibiting high sensitivity," Investec analyst Annabel Bishop said in a research note.
On the stock market, the Top-40 (.JTOPI) and the broader all-share (.JALSH) indices were down more than 0.5%.
South Africa's benchmark 2030 government bond was weaker, the yield up 3.5 basis points to 10.805%.
Reporting by Tannur Anders and Anait Miridzhanian;Editing by Alexander Winning and David Evans
Our Standards: The Thomson Reuters Trust Principles.
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South African rand flat; manufacturing and mining data due this week - Reuters
Enterprise Data Warehouse Market to Grow by 20.7% from 2022 to 2027 | Accur8 Software, Alphabet Inc., Amazon.com Inc., and more to emerge as key…
NEW YORK, July 14, 2023 /PRNewswire/ -- The enterprise data warehouse market is estimated to grow at a CAGR of 20.7% between 2022 and 2027. The size of the market is forecast to increase by USD 18,645.51 million, according to Technavio.The growing competition in the market is compelling vendors to adopt various growth strategies, such as promotional activities and spending on advertisements to improve the visibility of their services. Technavio report analyzes the market's competitive landscape and offers information on several market vendors, including - Accur8 Software, Alphabet Inc., Amazon.com Inc., Amitech Solutions Inc., AtScale Inc., CitiusTech Inc., Cloudera Inc., Fusion Consulting AG, HCL Technologies Ltd., Health Catalyst Inc., International Business Machines Corp., Micro Focus International Plc, Microsoft Corp., Oracle Corp., SAP SE, Snowflake Inc., Solver Inc., Tata Sons Pvt. Ltd., Teradata Corp., and Veeva Systems Inc.- Download Sample Report in minutes.
Technavio has announced its latest market research report titled Global Enterprise Data Warehouse Market
Enterprise Data Warehouse Market- Market Insights
Vendors: 15+, Including Accur8 Software, Alphabet Inc., Amazon.com Inc., Amitech Solutions Inc., AtScale Inc., CitiusTech Inc., Cloudera Inc., Fusion Consulting AG, HCL Technologies Ltd., Health Catalyst Inc., International Business Machines Corp., Micro Focus International Plc, Microsoft Corp., Oracle Corp., SAP SE, Snowflake Inc., Solver Inc., Tata Sons Pvt. Ltd., Teradata Corp., and Veeva Systems Inc., among others.
Coverage:Parent market analysis; key drivers, major trends, and challenges; customer and vendor landscape; vendor product insights and recent developments; key vendors; and market positioning of vendors
Segments:Product type (information and analytical processing and data mining), Deployment (cloud-based and on-premise), and geography (North America, Europe, APAC, Middle East and Africa, and South America).
To understand more about the enterprise data warehouse market,request a sample report
Enterprise Data Warehouse Market Market Dynamics
Key Driver
Data explosion across industries is a key factor driving market growth. The amount of data being generated by industries worldwide is constantly increasing. For instance, Facebook uploads around 100 terabytes of data daily, while Walmart manages over one million transactions per hour and stores the corresponding data in its database. Organizations capture and store both financial and non-financial transactions as part of their operations.
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The digitization of organizations adds complexity and diversity to the datasets they handle. Additionally, the adoption of advanced technologies like the Internet of Things (IoT) in industries further contributes to the data volume. In order to process and analyze such massive amounts of data, the utilization of enterprise data warehouse solutions is important. Moreover, these solutions help enhance the overall handling and analysis of the data. Therefore, these factors are expected to drive market growth during the forecast period.
Major Trends
Native machine data generation is the major trend in the market. The adoption of echo state networks (ESN), ML, and IoT is driving an increase in data volume within organizations. Advanced devices and sensors are generating native machine data for machine-to-machine (M2M) communication and collaboration. While many systems already produce native data, legacy systems struggle to handle such data effectively. However, the introduction of advanced sensors and IoT is expected to make this data more accessible and usable in the future.
Consequently, enterprise data warehouse software solutions are anticipated to undergo a transformation, being redesigned and reconfigured to incorporate the ingestion and analysis of native machine data. This transformation aims to enhance data analytics and process efficiency and support critical business systems.
Significant Challenge
Data security concerns are a major challenge restricting growth in the market. The data security threats in the market include distributed denial-of-service (DDoS) attacks, data breaches, unsecured application programming interfaces (APIs), data loss, and account hijacking. Phishing, cross-site scripting, and social engineering techniques can be used to easily hijack backup account credentials, resulting in potential data breaches and loss.
Furthermore, the frequency of cyberattacks on enterprises is on the rise, making vendors collaborate with enterprises in establishing service-level agreements (SLAs) during storage implementation. Data management software and security appliances are used in data center environments to monitor data security and detect any potential threats. Therefore, these security threats are expected to restrict market growth during the forecast period.
Drivers,Trends & Challenges have an impact onmarket dynamics and can impact businesses.Find some insights from a sample report!
The enterprise data warehouse market report provides critical information and factual data, with a qualitative and quantitative study of the market based on market drivers and limitations as well as prospects.
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What are the key data covered in this Enterprise Data Warehouse Market report?
CAGR of the market during the forecast period
Detailed information on factors that will drive the growth of the enterprise data warehouse market between 2023 and 2027
Precise estimation of the size of the enterprise data warehouse market and its contribution to the market with a focus on the parent market
Accurate predictions about upcoming trends and changes in consumer behavior
Growth of the enterprise data warehouse market across North America, Europe, APAC, Middle East and Africa, and South America
A thorough analysis of the market's competitive landscape and detailed information about vendors
Comprehensive analysis of factors that will challenge the growth of enterprise data warehouse market vendors
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Related Reports
The cloud data warehouse market is estimated to decline at a CAGR of 27.38% between 2022 and 2027. The size of the market is forecast to increase by USD 17.74 billion. Furthermore, this report extensively covers market segmentation by deployment (public and private) and geography (North America, Europe, APAC, Middle East and Africa, and South America). The growing penetration of IoT-enabled devices is a key factor driving the market growth during the forecast period.
The enterprise data management market size is estimated to grow by USD 96.98 billion between 2022 and 2027 accelerating at a CAGR of 15.07% during the forecast period. Furthermore, this report extensively covers market segmentation by end-user (BFSI, healthcare, manufacturing, retail, and others), deployment (on-premise and cloud-based), and geography (North America, Europe, APAC, South America, and Middle East and Africa). The growing demand for data integration and visual analytics is a key factor driving the market growth during the forecast period.
Enterprise Data Warehouse Market Scope
Report Coverage
Details
Base year
2022
Historic period
2017-2021
Forecast period
2023-2027
Growth momentum & CAGR
Accelerate at a CAGR of 20.7%
Market growth 2023-2027
USD 18,645.51 million
Market structure
Fragmented
YoY growth 2022-2023(%)
20.6
Regional analysis
North America, Europe, APAC, Middle East and Africa, and South America
Performing market contribution
North America at 33%
Key countries
US, China, India, UK, and Germany
Competitive landscape
Leading Vendors, Market Positioning of Vendors, Competitive Strategies, and Industry Risks
Key companies profiled
Accur8 Software, Alphabet Inc., Amazon.com Inc., Amitech Solutions Inc., AtScale Inc., CitiusTech Inc., Cloudera Inc., Fusion Consulting AG, HCL Technologies Ltd., Health Catalyst Inc., International Business Machines Corp., Micro Focus International Plc, Microsoft Corp., Oracle Corp., SAP SE, Snowflake Inc., Solver Inc., Tata Sons Pvt. Ltd., Teradata Corp., and Veeva Systems Inc.
Market dynamics
Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, and Market condition analysis for the forecast period.
Customization purview
If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.
Table of Contents
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Product Type
7 Market Segmentation by Deployment
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Trends
11 Vendor Landscape
12 Vendor Analysis
13 Appendix
About UsTechnavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provide actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.
ContactTechnavio ResearchJesse MaidaMedia & Marketing ExecutiveUS: +1 844 364 1100UK: +44 203 893 3200Email: media@technavio.comWebsite: http://www.technavio.com
Global Enterprise Data Warehouse Market
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OU Analyse Team wins top prize for educational dataset – OU News
The OU Analyse team, which works to identify students at the university who may need extra support, has been awarded the prestigious Educational Dataset Prize by the Educational Data Mining Society for their remarkable work with the OULAD dataset.
OU Analyse is a system powered by machine learning methods for early identification of students at risk of failing. All students at risk of failing their next assignment are updated weekly and made available to the course tutors and the Student Support Teams to consider appropriate support.
The OULAD dataset, which consists of anonymised student interactions with the Virtual Learning Environment (VLE) at The Open University, combined with demographics and study results, has had a major impact on the field of learning analytics.
It has fostered the development of a global community of researchers, educators, and students who utilise the data set to gain insights into learning processes, evaluate new research ideas, and introduce learning analytics to the next generation of scholars.
Researchers worldwide have used the dataset to develop a wide range of learning analytics tools and technologies.
The OULAD dataset, explored in a paper published in the Nature Scientific Data journal, is freely available for download further contributing to its widespread use and impact in educational research.
The recognition received by the OU Analyse team highlights their ground-breaking contributions to the field of learning analytics and their dedication to advancing educational data mining.
The team members leading this work sit within the OUs Knowledge Media Institute (KMi), a diverse and multidisciplinary research and development lab that has been at the forefront of innovation since 1995, conducting research in computing technologies for social and environmental good.
Professor Miriam Fernandez, member of the OU Analyse team said
We are thrilled to have won this award, recognizing the teams outstanding work in the Learning Analytics field.
Our dedication over the past decade has placed the OU at the forefront of Learning Analytics, and this award is a testament to the teams hard work and valuable contributions to the research community.
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OU Analyse Team wins top prize for educational dataset - OU News
How Predictive Analytics Can Help Forecast Energy Needs – BizTech Magazine
Forecasting Supply and Demand Is Essential for Energy
Between changes in weather, occupancy, foot traffic, business workloads and more, consumer energy needs can fluctuate significantly. This makes it difficult for energy providers to ensure supply will meet the demand. For example, if an energy provider generates more energy than needed, it has wasted time and money. Conversely, if it fails to meet consumer demand, customers can lose trust in the provider.
Thats why many energy providers are turning to predictive analytics to draw from dozens of variables and stay on target. These analytics, according to a 2022 report by Popmodo, help forecast consumption and improve a companys chance at achieving their sustainability goals.
READ MORE:What trends to watch for in energy and utilities in 2023.
Predictive analytics uses data on what has happened in the past to make highly educated guesses about what is likely to happen in the future. More specifically, and often through the use of statistical models, machine learning algorithms and other data analysis techniques, predictive analytics finds patterns in historical data to identify risks and opportunities and forecast potential scenarios. In this way, predictive analytics helps drive strategic decision-making.
For energy companies, trying to forecast without predictive analytics can be particularly daunting due to the numerous variables at play, including energy sources, weather conditions and inconsistent workloads. Predictive analytics efforts greatly improve the accuracy of these forecasts, especially when they involve regression analysis.
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How Predictive Analytics Can Help Forecast Energy Needs - BizTech Magazine
Time for short-term rental operators to pay up in San Antonio – San Antonio Report
My family often uses short-term rentals listed on Airbnb or VRBO rather than hotels when traveling. The experience allows us to live more like locals. When we travel in the company of our adult children, we save a lot of money by not reserving multiple hotel rooms.
Yet I remain wary of the short-term rental industry. Its infected with property owners skilled at misrepresenting their offerings. Some obscure property defects like worn-out mattresses or poor water pressure, or they fib about the convenience of their location to area attractions in a given city or outdoor recreational area.
Many property owners, of course, offer detailed information about their rentals and happen to be wonderful people who want their tenants to enjoy a memorable stay. I repeatedly return to the same Airbnb rental in Brownsville when I visit my godson Philip True. Its clean, affordable, centrally located and the hosts respond quickly to my communications.
Still, there is plenty of space for people who hype their sites and leave visitors disappointed. Renters can leave a negative review, but if they do, the property owner could retaliate in kind, which can affect future access to other properties unwilling to rent to anyone with a low rating.
All of this comes to mind after reading San Antonio Report Business Reporter Tracy Idell Hamiltons article published Wednesday revealing that as many as two-thirds of short-term rental property owners in San Antonio are not registered and are not paying the hotel occupancy tax they owe the City of San Antonio. They are shortchanging the city of millions of dollars in annual revenue and undercutting others in the competitive hospitality industry.
San Antonio passed an ordinance governing short-term rentals in 2018. It was first put forward by then-City Councilman Mike Gallagher (D10). Hosts are required to register with the city, show proof of property insurance, acquire a permit for $100 that must be renewed every three years and conform to local standards. Properties need to have a working smoke and carbon monoxide detector and meet other basic indoor and outdoor safety standards that apply to any homeowner. Party and wedding rentals are prohibited, and violators are subject to fines of $200-$500 a day for failing to maintain a permit or abide by the ordinance.
Most importantly, the city permit number must be listed in all advertisements or online advertising. Try a random neighborhood search on a short-term rental site, and good luck finding registered properties that list their permit number. The citys short-term rentals page does include a map displaying the nearly 3,500 registered properties, but it takes many steps to reach it, more than I can detail here.
I doubt any of the short-term operators in San Antonio are violating the ordinance out of ignorance, but if they are, the Short Term Rental Association of San Antonio is a user-friendly guide for responsible operators to stay current on local regulations and obtain a permit. For example, the city changed vendors contracted to collect taxes and is using Virginia-based Avenu Insights as of July 1.
One valuable data mining job Avenu Insights can do for the city is to identify the estimated 6,500 unregistered short-term rental operators in San Antonio. The city can take that report and announce a brief grace period to allow offenders to register or face enforcement and fines. The city also could inform short-term rental platforms like Airbnb and VRBO that if they do not begin to require operators to post their permit numbers, the companies will be prohibited from operating in the city. That latter suggestion might be wishful thinking on my part.
People operating in the tech industry are fond of pointing out how new applications offer solutions to old problems. There is less talk about the new problems they create. Look at the scooter industry and all the fanfare about the usefulness of getting people out of their polluting vehicles or offering mass transit users that last mile solution to come and go. Unregulated scooter companies littered city streets and sidewalks with toppled scooters, while some individuals angered by their presence vandalized them, even throwing scooters into the San Antonio River. Scooters are regulated now, and there are far fewer of them, but teenagers and children are regularly seen riding the scooters, dangerously weaving in and out of traffic, on and off sidewalks, despite the ordinance prohibiting underage use.
Short-term rentals at their best offer an experience few hotels can match: making visitors feel like they are living like locals. But they also have taken thousands of residences off the market, either for rent or sale, and this is contributing to the citys acute housing shortage. The least city officials can do is redouble efforts to make operators register and pay for the privilege.
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Time for short-term rental operators to pay up in San Antonio - San Antonio Report
Review: Author’s controversial remedies for the disinformation crisis – New Zealand Herald
The remedies start with raising the minimum age for social media to 16 or 18 and requiring identity certification. Photo / Getty Images
The theme of Distrust is attacks on both the process of science and its popular credibility. The book is generally accessible and readable, a polemic in the genre of Ben Goldacres Bad Science. It will be most interesting to people without much knowledge of the area; many of the examples will already be familiar to those who follow discussions about the conduct of science.
Three reasons are given for a credibility crisis in science: disinformation, data torturing and data mining. Disinformation is part of a populist backlash and is mediated by the internet and social media and reinforced by those who profit from it. Data torturing is driven by scientists insistence on empirical evidence, and data mining is the automated version fuelled by the big data and powerful computers that scientists created.
The stories of Gary Smith, an economics professor in California and author of The AI Delusion, with the possible exception of digressions on Bitcoin, are compelling illustrations of a problem for science.
One of the inside-cover blurbs compares the book to Carl Sagans The Demon-Haunted World, a comparison that actually highlights one of the books problems. Distrust has many historical examples, but its thesis of a modern crisis is somewhat weakened by the similarity of past and present errors.
The section on disinformation begins with a review of classical supernatural beliefs and conspiracy theories, as an introduction to the new post-fact, post-truth world. The internet is certainly a contributor to change. Its now easy for people to connect with like-minded folks outside their immediate social circle. There are flourishing internet communities of queer teens, blacksmiths, otaku, sourdough enthusiasts, Covid deniers and neo-Nazis.
As the inventors of the internet hoped, information circulates freely; disinformation does, too. During the height of the pandemic, then-prime minister Jacinda Ardern called for the government to be the single source of truth about Covid. There was no real prospect of this happening, nor should it: individuals such as epidemiologist Professor Michael Baker and groups such as Te Rp Whakakaupapa Urut, the National Mori Pandemic Group, were invaluable. The internet makes it harder to manufacture consent, and that is genuinely both a threat and an opportunity.
The remaining two main sections of the book, on data torturing and data mining, are basically statistical. Data torturing has two themes: statistical significance without meaningful effects, and fake statistical significance from overly flexible research practices.
Data mining automated analysis of large quantities of data is not, I think, treated fairly in the book. There is a lot of argument that computers cannot understand or think, and therefore they cannot make good decisions or find meaningful associations. This is supported by the argument that big data analyses do very large numbers of comparisons and so must return many false positives. The conclusion does not follow, and I will give two examples where blind analysis of large databases has been genuinely useful.
There are three relatively new drugs, alirocumab, evolocumab and inclisiran, that reduce cholesterol more than older drugs. These drugs not subsidised in New Zealand, although approved inhibit a target, PCSK9, that was found by testing across the entire genomes of people with unusually high and low cholesterol. The algorithms used to discover PCSK9 didnt understand anything about cholesterol or heart attacks, but the results are real. Statistical control of false positives is entirely feasible in this sort of research. One might argue that looking for genetic correlations is a priori sensible and so doesnt contravene the rule against data mining, but that makes the distinction between good and bad data mining quite fuzzy.
My second example is much more straightforward. Many, perhaps most, computational linguists would have argued 20 years ago that good machine translation could not be done just from correlations; some sort of understanding was intrinsically necessary. The likes of Google Translate, Deepl and Microsoft Translator have shown they were wrong.
The book ends with proposed remedies. Those for data mining and data torturing are reasonable, and many of them have been standard recommendations for some time, if not followed as much as they should be.
Smiths remedies for the disinformation crisis will be more controversial. They start with raising the minimum age for social media to 16 or 18 and requiring identity certification. The list goes on with a range of filtering and moderation proposals, such as prohibit forwarding until a post has been reviewed and fact-checked.
The identity and age restrictions would reduce the value of social media enormously even in the US, but especially in countries with less liberal speech laws with the largest impact on those who have the fewest other ways to form communities.
The filtering restrictions, if feasible, would have benefits, but also come with important trade-offs.
During the recent brief Russian coup attempt, many people were bemoaning the loss of Twitter as a rapid source of information with clear provenance. Limits on amplification reduce active disinformation, but will hit the few who provide good information harder than the many who provide noise.
Distrust: Big Data, Data-Torturing, and the Assault on Science, by Gary Smith (Oxford University Press, $US30 hb)
Thomas Lumley is chair of biostatistics at the University of Auckland.
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Review: Author's controversial remedies for the disinformation crisis - New Zealand Herald
How to use business intelligence effectively to scale business – The Economic Times
Leveraging business intelligence (BI) has become essential for companies trying to expand and prosper in today's data-driven environment. Organizations may make informed decisions, drive strategic initiatives, and remain ahead of the competition by sifting through huge amounts of data to uncover insightful information. Here are best ways to scale your firm using business intelligence.Clearly defined objectives and key performance indicators (KPIs) play a critical role in successful BI implementation. These performance indicators allow you better to connect your BI efforts with your business goals and focus on the most critical challenges. Once you've determined what you want to do, you may identify the data sources required to provide valuable insights. The data sources have internal data from multiple departments and external data from market research, consumer feedback, and industry trends," Bhaskar Ganguli, Director, Marketing and Sales, Mass Software Solutions said.Following that, you must invest in powerful BI software and solutions that can handle the volume and complexity of your data. Digital dashboards are central centers, displaying crucial metrics and performance indicators in real-time. They enable all stakeholders to participate at all levels to track progress, detect trends, and uncover potential concerns or opportunities in real-time. A well-designed dashboard displays data in a visually appealing and easy-to-understand format that allows users to comprehend insights and take necessary actions immediately.Building a data-driven culture inside your organisation is critical to capitalise on BI's power and usefulness. Once you have collected the necessary data and equipped yourself with the appropriate tools, it is time to delve into analyzing and visualizing the insights. To find significant patterns, trends, and correlations in the data, use statistical models, data mining methods, and machine learning algorithms. Use visuals like interactive dashboards, charts, and graphs to make complex information simple to interpret," Vipin Vindal, CEO, Quarks Technosoft said.However, the true value of business intelligence lies in making data-driven decisions. It is essential to utilize the insights gained from BI to inform and guide decision-making processes at all levels of your organization. Whether it involves optimizing supply chain processes, tailoring marketing campaigns, or identifying new market opportunities, basing decisions on data will drive business growth.
It is also critical to understand that business intelligence is a continuous activity. Keep an eye on your metrics and key performance indicators (KPIs) to see how far you've come toward your objectives. Implement real-time reporting and alerts to promptly identify emerging trends or potential issues. Regularly evaluate and adapt your BI strategy to stay in sync with the changing dynamics of your business landscape and to maintain a competitive edge. By doing so, you ensure that your business intelligence efforts remain relevant and effective in an ever-evolving environment.
Additionally, low-code no-code platforms offer user and device analytics. With user analytics organizations are enabled to gain deep insights into user behaviour, preferences, and patterns, helping them understand their customers better.
( Originally published on Jul 12, 2023 )
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How to use business intelligence effectively to scale business - The Economic Times
DAVOS ALZHEIMERS COLLABORATIVE SHARES ADVANCEMENT OF PREPARING HEALTHCARE SYSTEMS AND INCLUSIVE RESEARCH AT THE 2023 AAIC – Yahoo Finance
Davos Alzheimers Collaborative (DAC) Experts Offer the Following Presentations at AAIC 2023
New York, NY, July 12, 2023 (GLOBE NEWSWIRE) --
DAC Healthcare System Preparedness poster presentationsgeared for timely detection from mobilizing community workers, adding pharmacies to the front lines of care, deploying health tech tools, adapting healthcare systems to enable timely detection of Alzheimers (click here).
DACsRhoda Au leads a panel discussion:Enabling Cognitive Assessment at the Global Level: Overview of the Davos Alzheimers Collaborative Global Cohort Development program:
Transforming cognitive frailty into later-life self-sufficiency (AGELESS) using digital phenotyping in Malaysia Roshaslina Rosli, Universiti Malaya, Kuala Lumpur, Malaysia.
NIMR Africa work: filling the major data gap of dementia/Alzheimers as a life course disease; how Africa can lead on this front Rhoda Au, Davos Alzheimer's Collaborative.
How Alzheimers Affects our Hispanic CommunitiesJessica Cantu, El Faro Health and Therapeutics, Rio Grande City, US.
Realizing the Representative Reach: How Digital is Enabling Engagement of Hispanic Participants from a Semi Rural County in the United States.
Digital Cognitive Phenotyping using a Smartphone App Among Community-Dwelling Older Malaysians in the Transforming Cognitive Frailty in Later-Life Self-Sufficiency (AGELESS) Study
Implementation of a smartphone application for precision brain health assessment in a rural low socioeconomic setting:The Bogalusa Heart Study.
DACsDrew Holzapfelchairsthe Prothenasymposium, The Voice of the Patient with Alzheimers Disease,to discuss the impact of new treatments in addressing the unmet needs of those impacted by Alzheimers diseaseonThursday, July 19 at 5:45pm.
DAC Founder George Vradenburg and EVP Vaibhav Narayan available to brief on building a cohort of one million to diversify clinical research, including:a first-ever technology-enabled dementia study inE. Africa; a new project to leverage an eye tracking assessment andother novel technologiesto identify people at risk of dementia inthe Amazonianregion ofLatin America; access to blood samples from patients with longitudinal data in East Asia and Central Americas; and, a transnational data miningprogramincl.the Caribbean and S. Asia. All will be shared with researchers globally through the Alzheimers Disease Data Initiative platform.
Bridging the Gap:The Global CEO InitiativeWorkgroup for Adoption of Alzheimers Disease Blood-Based Biomarkers in Clinical PracticeonJuly 18,atRAI Amsterdam ConventionCentre, Hall 1,Poster Number: P3-841.
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The Davos Alzheimers Collaborative (DAC)isa global effort to spark genuine collaboration among scientists, healthcare providers, government health ministers, philanthropists, andcorporate leaders, to speed innovation and stop Alzheimers disease.Launched at the WorldEconomic Forums 2021 meeting on The Davos Agenda, the Collaborative is committed to a new vision for a collective global response against the challenges Alzheimerspresents to patients, caregivers and healthcare systems.
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Conner OMalley review Silicon Valley parody delivers standup solutions – The Guardian
Comedy
Soho theatre, LondonAn AI comedian cracks jokes tailored to the audiences internet search history in this spoof corporate presentation
Thu 13 Jul 2023 12.38 EDT
Streaming platforms increasingly tailor content to our own, unique tastes. Imagine if a standup could do the same? Thats the promise held out by Richard Eagleton, founder and CEO of Standup Solutions and developer of KENN, the worlds first AI comedian, in this spoof corporate presentation by Conner OMalley. This US act has cultivated a covetable reputation for his online work, and theres much to enjoy in this parody of Silicon Valley values and tech utopianism. But its not subtle, and its characterisation of OMalleys digital guru alter ego is not a surprising one.
The joke to begin with, and the first seed sewn that Eagleton may be something less than a slick success, is that the revolutionary AI development were promised is endlessly withheld. First we get to hear about Eagletons childhood in Des Plaines, Illinois. Then all about his beloved car, extensive tech spec very much included. Then about his workout routine and diet, a livelier section sending up the bizarre, macho behaviour of performative, competitive wellbeing.
The problem is that OMalleys loud and overhyped character can make for grating company, and the joke about how boring he is isnt always funny enough to forestall actual boredom. Just as later, the joke that KENN (whom we encounter on-screen only) is a crap standup doesnt offset the crapness of his comedy. But we mustnt blame KENN: he works, his inventor claims, by data-mining his audience, and delivering the jokes their internet history suggests theyll find funny. These are compelling ideas, but they too often devolve here into jokes about porn and poo. When Eagletons backstory reveals itself, meanwhile, as one of cuckoldry and business failure, its not exactly unexpected.
In the shows favour, OMalley gets this across in his vulnerable if not his brasher moments with some artful character work, and latterly, some neat faux home videos too. No mere online comic, hes also good with the crowd, his improvised material more sensitive and less strident than the actual set. A show tailored to my tastes, by AI or otherwise, would see this lighter touch more widely applied.
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Conner OMalley review Silicon Valley parody delivers standup solutions - The Guardian