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إصدارات ألتريكس 2018.3

date 23 September 2019
user Team Beinex

إصدارات ألتريكس 2018.3

تلتزم ألتريكس بإيجاد أفضل الحلول وتوليد الأفكار. اتخذت ألتريكس في العام الماضي الخطوة الأولى نحو السلوك التفاعلي من خلال تقديم ميزة تعريف البيانات، حيث يوفر هذا الإصدار تصورات تفاعلية عبر منصة ألتريكس.

التحليلات المرئية في كل خطوة

حلّت أداة المخطط التفاعلي محل أداة الرسوم البيانية العادية التي تم انتقاضها. في الوقت الحالي، تقوم أداة الرسوم البيانية التفاعلية في الحال بإنشاء وتخصيص مخططات لإنتاج تصميمات ثابتة وتفاعلية.

أداة الرؤى

تعمل أداة الرؤى على إضفاء الحيوية على أفكارك من خلال لوحات المعلومات التفاعلية التي يمكنك مشاركتها مع مؤسستك عبر منصة ألتريكس لتحقيق رؤىً أعمق حول بياناتك. يمكنك إنشاء العديد من المخططات والنصوص وترتيبها على لوحة المعلومات، وأيضًا فرز وتصفية المعلومات لعرض بيانات محددة، كما يمكنك التعمق لتعديل مدى تفاصيل للبيانات المعروضة.

تسليم الإجابات بشكل أسرع

تسمح ميزة التخزين المؤقت في ألتريكس ديزاينرAlteryx) (Designer بإيقاف سير العمليات ثم إعادة تشغيلها من نفس نقطة التوقف دون الحاجة إلى عودة إلى نقطة البداية مما يؤدي إلى تقليل وقت المعالجة بشكل كبير.

التخزين المؤقت

أصبح خادم ألتريكس أكثر ملاءمة للمؤسسات من خلال تحديد أولويات الوظائف وتعيين العقد العاملة التي تمكن المشرفين والمستخدمين من إعطاء الأولوية للمهام الأكثر أهمية في قائمة الانتظار.

يكون ألتريكس كونكت (Alteryx Connect) أكثر ذكاءً من خلال التوصية بالأصول ذات الصلة، ليساعدك بذلك على اكتشاف الأصول التحليلية الأخرى المتاحة لاستخدامها في تحليلاتك.

تحليلات المستوى الأعلى

أداة بايثون (Python)

أداة بايثون الجديدة مع المفكرة التفاعلية – Jupyter NoteBook عبارة عن بيئة تطوير متكاملة (IDE) تسمح لك بتشغيل كود بايثون مباشرة في ألتريكس ديزاينر.

إضافة إمكانات البيانات الضخمة – دعم أداة أباتشي سبارك – سبارك دايركت للداتا بريكس على أزور و إتش دي إنسايت – مما يتيح لك الاستفادة من فعالية سبارك مباشرة في عملياتك.

نحن نشجعك على تجربة الإمكانات الجديدة في ألتريكس أناليتيك 2018.3 خلال الندوة المباشرة في 18 سبتمبر

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Supply Chain Optimization:

Large manufacturing companies use automation to track inventory levels, reorder supplies, and manage logistics. AI algorithms are then employed to analyse historical data and market trends to optimise inventory levels and predict supply chain disruptions. This combination streamlines operations, reduces costs, and ensures products are available when needed.

Fraud Detection in Banking:

Automation is used to flag suspicious transactions in real-time, reducing the risk of fraud. AI, particularly machine learning models, can then analyze these flagged transactions along with historical data to identify new and evolving fraud patterns. This dynamic approach enhances fraud detection accuracy and minimizes false alarms, ultimately saving the bank time and resources.

Healthcare Diagnosis and Treatment:

Automation assists in managing patient records and appointment scheduling in a healthcare facility. AI-powered diagnostic tools analyse medical images, patient history, and symptoms to aid doctors in making accurate diagnoses. The combination of automation and AI improves patient care by reducing administrative burdens and enhancing medical decision-making.

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Smart Home Automation:

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Inventory Management in Retail:

Automation tracks inventory levels in a retail store and generates restocking orders as items reach a certain threshold. AI-powered demand forecasting algorithms analyse historical sales data and external factors (e.g., weather, holidays) to fine-tune inventory management. This combined approach ensures that products are in stock when customers need them, reducing both excess inventory and stockouts.

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AI and automation serve distinct purposes in the realm of business operations. Automation streamlines repetitive tasks, freeing humans from more complex endeavours. AI, on the other hand, emulates human cognitive functions and makes decisions based on data analysis. When applied together, they create a powerful synergy, enhancing efficiency and enabling businesses to harness the full potential of their data. Understanding the differences between AI and automation is essential for organisations seeking to leverage these technologies effectively in today's digital landscape.

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