17 datasets found
  1. h

    oscar-small

    • huggingface.co
    Updated Feb 18, 2018
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    tayem-allah (2018). oscar-small [Dataset]. https://huggingface.co/datasets/Tm24sense/oscar-small
    Explore at:
    Dataset updated
    Feb 18, 2018
    Authors
    tayem-allah
    Description

    Tm24sense/oscar-small dataset hosted on Hugging Face and contributed by the HF Datasets community

  2. h

    oscar-filter-small

    • huggingface.co
    Updated Feb 18, 2018
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    datablations (2018). oscar-filter-small [Dataset]. https://huggingface.co/datasets/datablations/oscar-filter-small
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 18, 2018
    Dataset authored and provided by
    datablations
    Description

    Dataset Card for "small-oscar"

    More Information needed

  3. h

    small-oscar-repetitions

    • huggingface.co
    Updated Feb 24, 2023
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    Aleksandra Piktus (2023). small-oscar-repetitions [Dataset]. https://huggingface.co/datasets/ola13/small-oscar-repetitions
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 24, 2023
    Authors
    Aleksandra Piktus
    Description

    Dataset Card for "small-oscar-repetitions"

    More Information needed

  4. Past Oscar Nominations and 2019

    • kaggle.com
    Updated Dec 17, 2019
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    Diego Rodrigues (2019). Past Oscar Nominations and 2019 [Dataset]. https://www.kaggle.com/datasets/diegomrod/past-oscar-nominations-and-2019
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 17, 2019
    Dataset provided by
    Kaggle
    Authors
    Diego Rodrigues
    Description

    Context

    Assembled this small dataset in order to create a model to bet on 2019s Oscars. Fell free to fork it and publish kernels with your predictions.

    I will be improving this during the month.

  5. S

    Small Business Health Insurance Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 15, 2025
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    Archive Market Research (2025). Small Business Health Insurance Report [Dataset]. https://www.archivemarketresearch.com/reports/small-business-health-insurance-59455
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The small business health insurance market, valued at $1111.3 million in 2025, is projected to experience steady growth, exhibiting a compound annual growth rate (CAGR) of 4.0% from 2025 to 2033. This growth is driven by several key factors. The increasing number of small businesses necessitates comprehensive health insurance coverage for their employees, fostering demand. Furthermore, government initiatives promoting affordable healthcare access for small businesses and their employees are contributing to market expansion. Technological advancements, such as telehealth platforms and streamlined administrative processes, are also improving efficiency and accessibility within the sector. The market is segmented by funding type (self-funded, level-funded) and business size (0-10 employees, 10-50 employees), allowing insurers to tailor products to specific needs. Competition is fierce, with established players like UnitedHealthcare, Anthem, and Blue Cross Blue Shield vying for market share alongside emerging players like Sana and Oscar, who offer innovative approaches to coverage and customer experience. While regulatory changes and economic fluctuations pose potential restraints, the overall market outlook remains positive, indicating substantial growth opportunities throughout the forecast period. The market segmentation highlights distinct needs across business sizes and funding models. Self-funded plans, allowing businesses to manage their own risk pools, are gaining popularity among larger small businesses, while level-funded plans offer a predictable premium structure appealing to smaller businesses. Geographic variations in healthcare costs and regulatory environments also influence market dynamics. North America, with its robust healthcare infrastructure and significant small business population, holds a substantial market share. However, growth potential is also evident in regions like Asia-Pacific, driven by increasing entrepreneurial activity and rising disposable incomes. Future growth will depend on successfully navigating the complexities of healthcare reform, technological disruption, and evolving customer expectations. Competitive differentiation through innovative product offerings, superior customer service, and effective risk management will be critical for success in this dynamic market.

  6. f

    Benchmark , which is composed of 12 small instances of the OSCAR problem.

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
    + more versions
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    Jose Torres-Jimenez; Nelson Rangel-Valdez; Himer Avila-George; Oscar Carrizalez-Turrubiates (2023). Benchmark , which is composed of 12 small instances of the OSCAR problem. [Dataset]. http://doi.org/10.1371/journal.pone.0189283.t013
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jose Torres-Jimenez; Nelson Rangel-Valdez; Himer Avila-George; Oscar Carrizalez-Turrubiates
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The column 2 shows the CA uses as initial array, while the columns 3 and 4 show the number of rows δ and columns Δ to be shortened, respectively.

  7. S

    Small Business Health Insurance Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 17, 2025
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    Archive Market Research (2025). Small Business Health Insurance Report [Dataset]. https://www.archivemarketresearch.com/reports/small-business-health-insurance-30615
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Feb 17, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The small business health insurance market is anticipated to grow steadily in the coming years, with a projected market size of $1464.3 million by 2033. The compound annual growth rate (CAGR) for the market is forecasted to be XX%, as per a recent industry study. The growth is primarily driven by rising healthcare costs, increasing awareness of the benefits of health insurance, and the growing number of small businesses in the market. The market is segmented by type (self-funded, level-funded) and application (0-10 people, 10-50 people). Key players in the small business health insurance market include Oscar, Kaiser Permanente, UnitedHealthcare, Blue Cross Blue Shield, Aetna, Cigna, Humana, AXA Health, Bupa, Sana, Florida Blue, SBIS, Anthem, Alea, Independence Blue Cross, Progressive Commercial, Allstate Benefits, Aflac, beWellnm, Trustmark, Chambers Plan, Access Health CT Small Business, Highmark, among others. These companies are offering a wide range of health insurance plans to meet the needs of small businesses, including plans with varying levels of coverage, deductibles, and co-pays. The market is expected to witness increasing competition in the coming years, as new entrants and existing players expand their offerings to capture a larger market share.

  8. S

    Small Business Health Insurance Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 15, 2025
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    Archive Market Research (2025). Small Business Health Insurance Report [Dataset]. https://www.archivemarketresearch.com/reports/small-business-health-insurance-59381
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The small business health insurance market, valued at $1464.3 million in 2025, presents a significant opportunity for growth. While a precise CAGR isn't provided, considering the increasing number of small businesses and ongoing healthcare reforms, a conservative estimate would place the CAGR within the range of 5-7% over the forecast period (2025-2033). This growth is fueled by several key drivers: the increasing prevalence of self-funded and level-funded plans, catering to the diverse needs of small businesses with employee counts ranging from 0-10 to 10-50; the rising demand for comprehensive health coverage among employees; and the increasing regulatory pressures pushing for greater employee benefits. Trends include a shift towards digital health solutions, personalized employee benefits packages, and a growing emphasis on preventative care. However, challenges remain, including rising healthcare costs, administrative complexities associated with multiple insurance providers, and the need for improved transparency and consumer education within the marketplace. The market is segmented by funding type (self-funded, level-funded) and business size (0-10 employees, 10-50 employees). Major players, including Oscar, Kaiser Permanente, UnitedHealthcare, Blue Cross Blue Shield, Aetna, and Cigna, are competing aggressively, leading to innovation in product offerings and service delivery. Geographic distribution is widespread, with North America, particularly the United States, holding a significant share, followed by Europe and Asia Pacific. The ongoing expansion of coverage and the adoption of technological advancements are expected to reshape the competitive landscape significantly throughout the forecast period, demanding agility and innovation from insurers.

  9. e

    Distribution of ticks, tick-borne pathogens and the associated local...

    • b2find.eudat.eu
    Updated Oct 22, 2023
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    (2023). Distribution of ticks, tick-borne pathogens and the associated local environmental factors, including small mammals and livestock, in two French agricultural sites: the OSCAR database - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/fb56fe70-d977-52b3-ab4a-122c1886d229
    Explore at:
    Dataset updated
    Oct 22, 2023
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    The data investigated the distribution of ticks and their potential pathogens in two agricultural zones in north-western and south-western France, as well as the distributions of the principal domestic and wild hosts (small mammals), along a gradient of wooded habitats from forest core to more or less isolated hedges bordering pastures. The samples and information on the landscape were collected in spring and autumn of 2012 and 2013 and in spring 2014 corresponding to the main periods of tick activity. All the questing ticks and ticks from small mammals were identified, and ticks and small mammals were analysed to detect Borrelia spp., Babesia spp. and Anaplasma spp.

  10. Data Integration Products and Services Survey

    • zenodo.org
    • data.niaid.nih.gov
    csv
    Updated Mar 4, 2021
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    Ahmad Alobaid; Ahmad Alobaid; Oscar Corcho; Oscar Corcho (2021). Data Integration Products and Services Survey [Dataset]. http://doi.org/10.5281/zenodo.4576634
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 4, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ahmad Alobaid; Ahmad Alobaid; Oscar Corcho; Oscar Corcho
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This small data set include more than 50 commercial data integration products and services. We gather three attributes manually from the official website: the price availability, the use of semantics, and the use of machine learning for automatic identification of the same entities in different datasets. These are done manually based on the information that was available in the official websites. This might not be accurate as it is done manually. Nonetheless, we collected these information to show the general trend of the gathered attributes.

  11. Gender distribution of Academy Award nominees 2025, by non-acting category

    • statista.com
    Updated Feb 28, 2025
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    Statista (2025). Gender distribution of Academy Award nominees 2025, by non-acting category [Dataset]. https://www.statista.com/statistics/696559/oscar-nominees-gender-distribution-category/
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    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    United States
    Description

    In 2025, men almost accounted for the majority of the nominees for all major non-acting categories at the Academy Awards. All contenders in the Cinematography category were male. The category with the highest level of female participation that year was Documentary (short subject).

  12. Ocean pathway estimation using Drifter.jl and Oscar flow fields

    • zenodo.org
    csv
    Updated Feb 15, 2025
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    Gael Forget; Gael Forget (2025). Ocean pathway estimation using Drifter.jl and Oscar flow fields [Dataset]. http://doi.org/10.5281/zenodo.14876667
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    csvAvailable download formats
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Gael Forget; Gael Forget
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Daily flow fields for year 2021 are read consecutively and virtual sea water parcels (100,000) are tracked as they follow this time variable flow field. The small file contains a subset of 30 days and 50,000 parcels.

    Software : Drifters.jl (v0.6.4)

    Forget, G., (2021). IndividualDisplacements.jl: a Julia package to simulate and study particle displacements within the climate system. Journal of Open Source Software, 6(60), 2813, https://doi.org/10.21105/joss.02813

    https://github.com/JuliaClimate/Drifters.jl

    Data : Oscar (v2.0)

    ESR; Dohan, Kathleen. 2022. Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Final 0.25 Degree (Version 2.0). Ver. 2.0. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/OSCAR-25F20

    https://podaac.jpl.nasa.gov/dataset/OSCAR_L4_OC_FINAL_V2.0

  13. R

    Data from: Distribution of ticks, tick-borne pathogens and the associated...

    • entrepot.recherche.data.gouv.fr
    Updated Oct 24, 2023
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    Isabelle Lebert; Albert Agoulon; Suzanne Bastian; Alain Butet; Bruno Cargnelutti; Nicolas Cèbe; Amélie Chastagner; Elsa Léger; Bruno Lourtet; Sébastien Masseglia; Karen McCoy; Joël Merlet; Valérie Noël; Grégoire Perez; Denis Picot; Angélique Pion; Valérie Poux; Jean-Luc Rames; Yann Rantier; Hélène Verheyden; Gwenaël Vourc'h; Olivier Plantard; Isabelle Lebert; Albert Agoulon; Suzanne Bastian; Alain Butet; Bruno Cargnelutti; Nicolas Cèbe; Amélie Chastagner; Elsa Léger; Bruno Lourtet; Sébastien Masseglia; Karen McCoy; Joël Merlet; Valérie Noël; Grégoire Perez; Denis Picot; Angélique Pion; Valérie Poux; Jean-Luc Rames; Yann Rantier; Hélène Verheyden; Gwenaël Vourc'h; Olivier Plantard (2023). Distribution of ticks, tick-borne pathogens and the associated local environmental factors, including small mammals and livestock, in two French agricultural sites: the OSCAR database [Dataset]. http://doi.org/10.15454/93LPP7
    Explore at:
    tsv(428566), tsv(1731), tsv(509), tsv(109705), tsv(1815), application/zipped-shapefile(562637), tsv(1648), tsv(855779), tiff(310572), tsv(216698), tsv(2961), tiff(280554), application/zipped-shapefile(11592), tsv(547), tsv(1134), tsv(111419), tsv(91631), tsv(960090)Available download formats
    Dataset updated
    Oct 24, 2023
    Dataset provided by
    Recherche Data Gouv
    Authors
    Isabelle Lebert; Albert Agoulon; Suzanne Bastian; Alain Butet; Bruno Cargnelutti; Nicolas Cèbe; Amélie Chastagner; Elsa Léger; Bruno Lourtet; Sébastien Masseglia; Karen McCoy; Joël Merlet; Valérie Noël; Grégoire Perez; Denis Picot; Angélique Pion; Valérie Poux; Jean-Luc Rames; Yann Rantier; Hélène Verheyden; Gwenaël Vourc'h; Olivier Plantard; Isabelle Lebert; Albert Agoulon; Suzanne Bastian; Alain Butet; Bruno Cargnelutti; Nicolas Cèbe; Amélie Chastagner; Elsa Léger; Bruno Lourtet; Sébastien Masseglia; Karen McCoy; Joël Merlet; Valérie Noël; Grégoire Perez; Denis Picot; Angélique Pion; Valérie Poux; Jean-Luc Rames; Yann Rantier; Hélène Verheyden; Gwenaël Vourc'h; Olivier Plantard
    License

    https://entrepot.recherche.data.gouv.fr/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.15454/93LPP7https://entrepot.recherche.data.gouv.fr/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.15454/93LPP7

    Time period covered
    Apr 1, 2012 - Oct 15, 2014
    Area covered
    French, Occitanie, France, Brittany, France
    Dataset funded by
    French National Research Agency
    Description

    The data investigated the distribution of ticks and their potential pathogens in two agricultural zones in north-western and south-western France, as well as the distributions of the principal domestic and wild hosts (small mammals), along a gradient of wooded habitats from forest core to more or less isolated hedges bordering pastures. The samples and information on the landscape were collected in spring and autumn of 2012 and 2013 and in spring 2014 corresponding to the main periods of tick activity. All the questing ticks and ticks from small mammals were identified, and ticks and small mammals were analysed to detect Borrelia spp., Babesia spp. and Anaplasma spp.

  14. d

    Housing Associations Database in the UK - by Oscar Research (7.9k records)

    • datarade.ai
    .csv, .xls
    Updated Dec 21, 2020
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    Oscar Research (2020). Housing Associations Database in the UK - by Oscar Research (7.9k records) [Dataset]. https://datarade.ai/data-products/housing-associations-oscar-research
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Dec 21, 2020
    Dataset authored and provided by
    Oscar Research
    Area covered
    United Kingdom
    Description

    Following large transfers of Social Housing stock from the Public Sector over the past twenty years, Housing Associations are now the major provider of social housing in the UK. The largest own thousands of houses but at the other end of the scale are very small organisations such as ancient Almshouse Charities, each owning a cottage or two and overseen by a part time Chairman or a Secretary.

    The legal status and ownership of Housing Associations and Trusts is often complex. In some instances, a single management team may manage two or more Housing Associations which are distinct legal entities, for example one Charitable and one non-Charitable.

    Housing Associations vary in the scope of their operations. The largest may cater for all types of tenants requiring public housing, whilst many of the smaller ones may cater for specific groups, for example, elderly residents of a certain parish or retired miners. The YMCAs and Foyers provide housing accommodation for single young people whilst the Abbeyfield Societies are voluntary bodies providing sheltered accommodation or nursing homes for the elderly.

    How the data is organised:

    Parent/Subsidiary Organisations - Housing Associations are regularly merging and renaming themselves. They are often managed in complex groups, with parent and subsidiaries organisations, some sharing their corporate management. Where there is a shared management team across a group, we list these contacts at the group organisation and not against each subsidiary, in order to avoid duplication.

    Principal Contact - One person at each Association is identified as the "Chief Officer". In larger organisations this will normally be the Chief Executive or Director. In smaller Associations, it may be the Secretary or occasionally the Chairman, as requested by each organisation.

    Job Functions - In addition to the Chief Officers we list a large number of other management posts. Due to the variety of job titles among Associations, we categorise by job function to identify responsibilities.

    Units Owned/Managed - As well as recording the organisational structures, we also record the number of "units" each organisation owns/manages. "Units" can be anything from a detached house to a flat or a room or bed space in a nursing home or hostel.

  15. f

    Oxford Screening of CSF and Respiratory Samples ('OSCAR'): Supplementary...

    • figshare.com
    txt
    Updated Feb 1, 2018
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    Colin Sharp; Tanya Golubchik; William Gregory; Anna McNaughton; Nicholas Gow; Mathyruan Selvaratnam; Alina Mirea; Dona Foster; Monique Andersson; Paul Klenerman; Katie Jeffery; Philippa Matthews (2018). Oxford Screening of CSF and Respiratory Samples ('OSCAR'): Supplementary resources for a project using Next Generation Sequencing (NGS) for identification of viruses from clinical laboratory samples [Dataset]. http://doi.org/10.6084/m9.figshare.5670007.v3
    Explore at:
    txtAvailable download formats
    Dataset updated
    Feb 1, 2018
    Dataset provided by
    figshare
    Authors
    Colin Sharp; Tanya Golubchik; William Gregory; Anna McNaughton; Nicholas Gow; Mathyruan Selvaratnam; Alina Mirea; Dona Foster; Monique Andersson; Paul Klenerman; Katie Jeffery; Philippa Matthews
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is a file set that describes the methods used in a small pilot study to investigate 'next generation sequencing' (NGS) derived from an Illumina platform, applied to clinical diagnostic samples following routine testing in a UK microbiology laboratory.We briefly summarise the benefits and challenges of an NGS approach to diagnostics, and conclude with some potential methodological improvements.The file set includes anonymised metadata for the samples tested (10 respiratory and 10 CSF).Results have been made available through a separate DOI: 10.6084/m9.figshare.5712091 and the entire genomic metadata have been submitted to European Nucleotide Archive (ENA); (primary accession PRJEB22949). This study was approved through the UK integrated research application system (REC reference 14/LO/1077).

  16. Oscar Range Canning Basin North WA Gravity (P197053), gravity point data

    • ecat.ga.gov.au
    • researchdata.edu.au
    Updated Jul 5, 2021
    + more versions
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    Commonwealth of Australia (Geoscience Australia) (2021). Oscar Range Canning Basin North WA Gravity (P197053), gravity point data [Dataset]. https://ecat.ga.gov.au/geonetwork/js/api/records/1e17ca73-0dd1-4024-930a-96774a422f36
    Explore at:
    www:link-1.0-http--opendap, www:link-1.0-http--linkAvailable download formats
    Dataset updated
    Jul 5, 2021
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Time period covered
    Jan 1, 1970 - Dec 31, 1970
    Area covered
    Description

    Gravity data measures small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This Oscar Range Canning Basin North WA Gravity (P197053) contains a total of 2252 point data values acquired at a spacing between 400 and 900 metres. The data is located in WA and were acquired in 1970, under project No. 197053 for West Australian Petroleum Pty Ltd.

  17. N

    North America Insurtech Industry Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 21, 2025
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    Market Report Analytics (2025). North America Insurtech Industry Report [Dataset]. https://www.marketreportanalytics.com/reports/north-america-insurtech-industry-99675
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 21, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    North America
    Variables measured
    Market Size
    Description

    The North American Insurtech market, valued at approximately $4 billion in 2025, is projected to experience robust growth, driven by several key factors. Technological advancements, such as AI-powered underwriting and claims processing, are significantly improving efficiency and customer experience. The increasing adoption of digital platforms and mobile applications is facilitating wider accessibility and convenience for consumers. Furthermore, the growing demand for personalized insurance products and the rising need for cost-effective solutions are fueling market expansion. The market is segmented by line of insurance (property and casualty, health, life) and business model (enabler, carrier, distributor), reflecting the diverse range of players and services within the ecosystem. Key players like Lemonade, Gusto, and Oscar are leading the charge in innovation, leveraging technology to disrupt traditional insurance models. The focus on data analytics and personalized risk assessment is enhancing the accuracy of pricing and risk management, creating a more sustainable and profitable industry. Growth is expected to continue at a compound annual growth rate (CAGR) of 8.10% from 2025 to 2033. This sustained expansion is largely attributed to the increasing penetration of digital technologies across the insurance value chain. The North American market, particularly the United States, is at the forefront of this transformation, with a large and technologically savvy population eager to adopt innovative insurance solutions. While regulatory hurdles and data security concerns present challenges, the overall market outlook remains highly positive, indicating a substantial increase in market size by 2033. This growth will be fueled by the ongoing development of new technologies, a growing focus on customer centricity and the ongoing consolidation within the industry, leading to both increased efficiency and competitive advantage for the major players. Recent developments include: March 2023: Montreal-based Equisoft, an insurance and investment software developer, today announced that it raised $125 million in venture equity. It is a large amount made more significant by the fact that the investment climate for insurtech vendors is growing increasingly challenging., February 2023: LegalZoom and NEXT Insurance partner to create an embedded experience for small business insurance, a partnership to help better small business owners create and protect their business online.. Notable trends are: Increasing Number of Smart Phone Subscribers in United States Witnessing Growth in North America Digitized Insurance Trend.

  18. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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tayem-allah (2018). oscar-small [Dataset]. https://huggingface.co/datasets/Tm24sense/oscar-small

oscar-small

Tm24sense/oscar-small

Explore at:
80 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 18, 2018
Authors
tayem-allah
Description

Tm24sense/oscar-small dataset hosted on Hugging Face and contributed by the HF Datasets community

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